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Use cases

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Real execution examples · AI Workforce

See an AI Workforce at work.

Explore documented execution outcomes, including what the AI delivered, what remained uncertain, and where human judgment is still needed.

AI WorkforceExecution completed

Executive Business Review

Four AI specialists, coordinated as an executive advisory team, reviewed a fictional SaaS business and produced a structured 90-day strategy.

Monthly recurring revenue: $45,000
Customers: 600
Monthly churn: 4%
New leads per month: 180

Test scenario using fictional business figures. No external integrations, actions, or business data modifications were performed.

What the workforce delivered

• Executive assessment of unit economics and customer retention
• Five prioritized business risks and opportunities
• A phased 30/60/90-day action strategy
• KPI recommendations across executive, sales, marketing and customer operations
• Explicit assumptions, data dependencies and unresolved questions

Important limitation: the reported $120 acquisition cost was not defined precisely enough to validate CAC. The workforce flagged missing authoritative data rather than inventing certainty.

AI WorkforceExecution completed · planning only

Revenue Recovery & Pipeline Rescue

A five-specialist AI revenue operations workforce, coordinated by Alex, diagnosed pipeline leakage for a fictional B2B SaaS company and produced one actionable 30-day recovery plan.

Inbound leads per month: 120
Unanswered leads: 30
Missed follow-ups: 18
Demo requests awaiting scheduling: 12

Fictional test inputs; the 30 unanswered and 18 missed follow-up records may overlap. Reported percentages describe the supplied scenario, not verified customer outcomes.

What the workforce delivered

• Diagnosis of response, follow-up and demo-scheduling gaps
• Prioritized recovery opportunities and draft customer communications
• A 30-day action matrix with owners, deadlines, approvals and success measures
• Qualification, scheduling, escalation and operational handoff procedures
• A cautious rollout recommendation: alerts and tasks before autonomous outreach

Execution boundary: this was planning only. No customers were contacted, meetings booked, CRM records changed or automations activated. External actions require explicit authorization and approval.

AI WorkforceExecution completed · analysis only

Customer Experience Excellence

Three AI specialists, coordinated by Opi, assessed customer support complaints, appointment conversion and operational bottlenecks for a fictional service business, then prepared a 21-day improvement plan.

Monthly inquiries: 800
Appointment requests: 200
Completed bookings: 150
Monthly complaints: 60

Fictional test inputs. Request-to-booking conversion was calculated at 75%, with 50 uncompleted requests (25%). These figures are not live customer results.

What the workforce delivered

• An assessment of booking abandonment, support complaints and escalation ownership
• A 21-day plan: establish controls, reduce friction, then prevent recurrence
• Proposed measurable KPIs for booking conversion, response times, complaint resolution and escalation
• A suggested request-to-booking conversion target of at least 85%, versus the 75% scenario baseline
• Explicit assumptions about staffing, capacity, service levels and complaint attribution

Potential, not achieved: at 200 requests, 85% conversion would imply approximately 170 bookings, or 20 more than the scenario baseline, subject to capacity and validation. No bookings were created, customers contacted or data modified.

AI WorkforceExecution completed · strategy only

Pipeline Growth Strategy

Three AI specialists, coordinated by Opi, evaluated the sales funnel, acquisition positioning and operational priorities of a fictional B2B software company, delivering a six-week growth plan.

Monthly website visitors: 10,000
Leads: 300
Qualified leads: 75
New customers: 12

Fictional test scenario. Observed funnel calculations: 3% visitor-to-lead, 25% lead qualification, 16% qualified-lead-to-customer and 0.12% visitor-to-customer.

What the workforce delivered

• Funnel conversion analysis and identification of sales bottlenecks
• Five improvement proposals ranked by impact and implementation effort
• A coordinated six-week plan spanning Sales, Marketing and Operations
• Weekly KPI targets for qualification, response, positioning and conversion
• Explicit limitations and hypotheses requiring validation with actual business data

Target scenario, not a forecast: a 30% qualification rate and 22% qualified-lead conversion on the same 300 leads would yield approximately 20 customers, compared with 12 in the test baseline. No integrations or external actions were used.

AI WorkforceExecution completed · analysis only

Revenue Recovery Team

Three AI specialists, coordinated by Opi, compared Sales, Marketing and Operations findings for a fictional B2B SaaS company to identify revenue risks and develop a prioritized 30-day recovery strategy.

Monthly leads: 240
Lead-to-customer conversion: 15%
Previous monthly churn: 3%
Current monthly churn: 5%

Fictional test inputs: 240 leads at 15% conversion imply 36 new customers per month. Churn increased by 2 percentage points, a 66.7% relative rise.

What the workforce delivered

• Cross-functional analysis of sales funnel, lead quality and customer churn
• Three prioritized risks: churn offsetting acquisition, conversion or lead-quality deterioration, and insufficient revenue visibility
• A 30-day recovery plan with recommendations, measurable KPIs and conditional expected impact
• Suggested retention diagnostics, lead instrumentation and onboarding handoff improvements
• Explicit limitations identifying the additional data required to validate root causes and financial impact

Recommendations, not executed actions: no customers were contacted, integrations used or records modified. Revenue-dollar impact and net customer growth cannot be established without pricing and active-customer data.

AI Workforce · OrchestrationBlueprint completedSeparate run blocked

Autonomous Business Operations & Workflow Orchestration

Alex coordinated a five-specialist workforce to design an end-to-end operating model for a fictional B2B professional services company, from lead intake and consultation scheduling through contracts, onboarding and ongoing support.

Monthly leads: 200
Qualified opportunities: 65
Booked consultations: 40
Signed contracts: 25

What the completed run delivered

• An executive operations blueprint spanning Sales, Scheduling, Operations and Post-Sale Support.
• Explicit handoff acceptance gates, ownership, escalation queues and exception handling.
• Proposed booking, onboarding and support controls with retry, idempotency and audit requirements.
• Human approval points for ambiguous, contractual, financial and sensitive decisions.
• A KPI scorecard and staged implementation sequence, grounded in the fictional scenario.

Delegation boundary observed

A separate earlier execution was marked Failed with the recorded error: Coordinator selected an employee outside the workforce.

The system rejected that out-of-scope selection rather than accepting the proposed delegation. This demonstrates a boundary check in that execution; it does not establish that every possible cross-workforce access path has been tested.

Execution distinction: the completed blueprint and the blocked delegation are two different recorded runs, not conflicting statuses for one run. The completed run produced an implementation proposal only: no integrations, automations, bookings, notifications, customer handoffs or business-system changes were executed. Proposed SLAs and improvements were not achieved outcomes.

Real execution examples · AI Collaboration

Multiple AI Employees. One coordinated outcome.

Explore how specialist AI Employees work across dependent tasks to produce decision-ready business reports. These are documented planning executions using fictional scenarios, not claims of live operational changes.

AI CollaborationExecution report available

Intelligent Enterprise Onboarding

Five AI Employees coordinated an enterprise onboarding decision package for a fictional B2B SaaS provider preparing a 300-user rollout across four departments within a 21-day target.

AI Employees: 5
Users in scenario: 300
Departments: 4
Rollout target: 21 days

Coordinated workstreams

Morgan assessed customer requirements and the sales-to-delivery handoff. Opi designed implementation and operational rollout. Nia prepared onboarding and training scheduling. Soph addressed support readiness and post-launch care. Alex coordinated the final launch-readiness decision package.

Outcome: a structured onboarding plan, risk and dependency assessment, and executive GO/NO-GO criteria. The recommendation was NO-GO pending validation of required conditions. Planning only; no live onboarding, integrations or customer communications were executed.

Full executive report: 30 pages. PDF publication and original execution screenshots are pending asset integration.

AI CollaborationExecution report available

Critical Customer Escalation & Recovery

Four AI Employees collaborated on a fictional critical enterprise escalation: a £180,000 annual contract approaching renewal, three recurring service incidents and 18 unresolved support tickets.

AI Employees: 4
Annual contract: £180,000
Unresolved tickets: 18
Days until renewal: 14

Coordinated workstreams

Soph assessed incidents and customer impact. Opi designed operational stabilization. Morgan evaluated renewal exposure and retention risks. Alex synthesized their work into an executive recovery and retention decision package.

Outcome: incident triage priorities, a 24-hour response plan, a seven-day stabilization roadmap, ownership and escalation rules, communication recommendations and recovery KPIs. Conditional GO for investigation and approved containment; NO-GO for unverified resolution claims or unauthorized contractual commitments.

Fictional scenario; no remediation, customer contact, ticket changes or renewal actions executed. Full executive report: 7 pages. PDF publication and original execution screenshots are pending asset integration.

AI CollaborationExecution report available

Enterprise Deal Rescue — Sales & Operations Collaboration

Four AI Employees collaborated on a fictional £120,000 annual B2B SaaS opportunity. The prospective customer requested a credible implementation proposal within 72 hours, covering 250 users across three departments, CRM integration, security review and support SLAs.

AI Employees: 4
Annual opportunity: £120,000
Users in scenario: 250
Proposal deadline: 72 hours

Coordinated workstreams

Morgan was assigned commercial requirements and deal-risk analysis. Opi assessed implementation feasibility and delivery risks. Soph designed the proposed support SLA and escalation model. Alex consolidated available specialist outputs into a unified executive decision package.

Outcome: an eight-page executive report with a requirements-to-capability matrix, phased implementation and approval gates, risk register, support model and proposed customer response. The recommendation was a conditional GO for a qualified, non-binding proposal and NO-GO for unconditional contractual, delivery or SLA commitments.

Evidence limitation: Morgan’s commercial assessment was not available in the final coordinator’s upstream context; commercial conclusions remain provisional. Fictional planning scenario only: no proposal was sent, contract signed, CRM record changed or implementation executed. The original PDF and screenshots will be linked once published as site assets.

Recorded execution · Autonomous Workflows

From an objective to a verified assessment.

Autonomous Workflows require an active AI Workforce. This recorded run demonstrates bounded task delegation, completion evaluation and an auditable execution timeline—not unrestricted automation of business systems.

Autonomous WorkflowRecorded run: completed

Enterprise Renewal Risk & Revenue Leakage Assessment

A fictional B2B SaaS company with 600 customers and £6.8M ARR needed an evidence-grounded assessment of upcoming renewals, at-risk contracts and unresolved billing disputes. The workflow delegated the analysis to an AI Employee and evaluated whether the objective had been fulfilled.

Renewal ARR (90 days): £920,000
High-risk ARR: £410,000
High-risk accounts: 18
Billing disputes: 11

Recorded outcome

The assessment found that 18 high-risk accounts represented 24% of the 75 renewing contracts but 44.6% of their £920,000 renewal ARR, assuming those accounts belong to the renewal cohort. It produced a risk segmentation, intervention priorities, accountable owner roles, a 30-day action plan and measurable KPIs.

Execution evidence: one delegated task was completed and marked verified. The workflow evaluated completion again in iteration 2 and recorded the run as completed, with the deliverable available. The recorded AI cost was $0.0030. An additional executive synthesis request timed out, but the verified task assessment remained available.

Important distinction: £410,000 is identified high-risk ARR, not recovered revenue. The 11 billing disputes were not assigned an invented monetary value or added to exposure without evidence. This fictional run did not contact customers, modify records or execute recovery actions. Original execution screenshots and a downloadable report can be added when published as site assets.

Autonomous WorkflowRecorded run: completed

Enterprise Sales Pipeline Recovery & Forecast Governance

An autonomous assessment of a fictional £8.2M enterprise sales pipeline, focused on stalled opportunities, overdue proposal decisions and missing next steps. The workflow delegated the analysis to an AI Employee, verified the task result and evaluated objective completion.

Open opportunities: 140
Pipeline value: £8.2M
Stalled opportunities: 38 · £2.6M
Overdue proposals: 17

Recorded outcome

The assessment identified that 27.1% of open opportunities accounted for 31.7% of pipeline value in the stalled segment. It also flagged 12 opportunities without assigned next steps, assessed commercial and forecast-quality risks, and produced five prioritized recovery actions, an ownership model, a 30-day execution plan and measurable pipeline governance KPIs.

Execution evidence: the delegated task was completed and verified in iteration 1; the completion decision in iteration 2 marked the objective fulfilled, and the run ended as completed with a deliverable available. Recorded AI cost: $0.0035. The separate executive synthesis request timed out, while the verified task report remained available.

Scope and limitations: all figures describe a fictional scenario. Stalled opportunities, overdue proposals and missing-next-step categories may overlap. The proposed KPI targets are recommendations, not achieved results. No deal-level records were fabricated, no prospects were contacted, no CRM data was changed and no conversions or recovered revenue were claimed.

Autonomous WorkflowRecorded run: completed

Customer Support Operations Recovery & SLA Improvement

A fictional B2B software company's support operation was assessed for backlog exposure, response-time gaps and overdue escalations. The autonomous workflow delegated and verified an operational recovery assessment, defined support controls, and requested an additional task when the completion review identified missing phases in the 30-day plan.

Customers: 1,200
Monthly support tickets: 950
Unresolved backlog: 165
Overdue high-priority cases: 29

Recorded outcome

The assessment quantified the unresolved backlog at 17.4% of monthly ticket volume and overdue high-priority cases at 17.6% of that backlog. Average first-response time was 19 hours against an 8-hour target, with a 78% customer satisfaction baseline. The deliverable prioritized escalation ownership, backlog triage, response-time recovery and customer-experience investigation, with a phased 30-day plan, measurable controls, checkpoints and exit criteria.

Proposed management targets included progress toward an 8-hour average first response, a minimum 25% backlog reduction to 124 or fewer unresolved tickets subject to inflow, complete escalation ownership and separately measured first-response SLA attainment. Root-cause possibilities were explicitly marked as unverified pending ticket-level evidence.

Execution evidence: three delegated tasks were completed and verified. The second-iteration completion review identified missing final phases and initiated a follow-up task; the third-iteration decision confirmed completion. The run ended with a deliverable available. Recorded AI cost: $0.0087. The separate executive synthesis request timed out, but the verified task results remained available.

Scope and limitations: fictional company and supplied aggregate data only. Targets are proposed, not achieved. No ticket-level evidence or verified causes were available; no customer contacts, operational system changes or actual improvements are claimed.

Recorded execution · Business Processes

A structured business outcome, with explicit evidence boundaries.

Business Processes operate with an active AI Workforce. This example shows a completed analytical process and its recorded business outcome—not changes executed in a customer support system.

Business ProcessRecorded execution: completed

Customer Retention Recovery

Using aggregate figures for a fictional B2B company, the completed process assessed customer retention and support-service risks, separated confirmed inputs from unverified explanations, and produced a prioritized 30-day improvement plan.

Active customers: 800
Monthly support tickets: 180
Average first response: 14 hours
Customer satisfaction: 76% CSAT

Business outcome

• Quantified the supplied 4% monthly churn as approximately 32 customers per month, conditional on the 800-customer denominator.
• Identified retention, responsiveness, customer experience and support-process risks.
• Distinguished possible causes—such as slow responses contributing to churn—from conclusions supported by evidence.
• Produced a phased 30-day action plan covering baseline measurement, ticket triage, knowledge resources and risk monitoring.

Proposed KPIs and controls

• Establish consistent baselines and categorize new support tickets.
• Target average first-response improvement from 14 to 10 hours or less.
• Target CSAT improvement from 76% to at least 80%.
• Monitor churn against a proposed goal of 3.5% or less, without presenting it as a forecast.
• Review response times, escalations and customer feedback on a defined cadence.

What was completed: a recorded Business Process execution with a retention-risk analysis, support-service risk assessment, and recommended actions and controls. The figures and targets are analytical inputs and recommendations—not evidence that churn fell, satisfaction improved or response times changed.

Evidence boundary: fictional aggregate data only. The process did not establish that support delays caused churn, and no customer-level analysis, customer contact or operational system changes are claimed.

Business ProcessRecorded execution: completed

Revenue Leakage & Renewal Protection

A completed business process assessed renewal exposure and potential revenue leakage for a fictional B2B SaaS company. The executive assessment segmented risks, prioritized interventions, proposed accountable owner roles and defined a 30-day plan with measurable controls.

Customers / total ARR: 600 / £6.8M
Renewals in 90 days: 75 · £920,000 ARR
High-risk accounts: 18 · £410,000 ARR
Unresolved billing disputes: 11

Executive assessment

• Quantified the 90-day renewal cohort at 12.5% of customers and 13.5% of total ARR.
• Identified £410,000 in high-risk ARR—44.6% of the £920,000 renewal cohort, assuming those 18 accounts belong to it.
• Flagged the 11 billing disputes for urgent investigation without assigning invented monetary exposure or double-counting risk.
• Recommended prioritizing high-risk renewals, billing reconciliation, renewal ownership and executive escalation.

30-day plan and KPIs

• Days 1–7: establish a register for all 75 renewals and triage all 11 disputes.
• Days 8–14: propose documented save plans for all 18 high-risk accounts and validate renewal blockers.
• Days 15–21: define mitigation and escalation actions and refresh forecasts against evidence.
• Days 22–30: review risk, dispute aging, ownership and repeatable renewal controls.
• Proposed coverage targets: named owners and next actions for all renewals, high-risk accounts and disputes.

Recorded business outcome: a completed executive renewal-exposure assessment with risk segmentation, recommended accountable roles, intervention priorities, a phased action plan and measurable KPIs. The £410,000 figure represents identified high-risk ARR, not recovered or protected revenue.

Evidence boundary: fictional aggregate inputs only. Account-level details, the overlap between billing disputes and renewals, disputed amounts and actual renewal outcomes were unavailable. The report recommends actions; it does not establish that customers were contacted, billing disputes resolved, contracts renewed or business systems modified.

Business ProcessRecorded execution: completed

Enterprise Sales Pipeline Recovery

A completed business process produced an executive pipeline recovery assessment from aggregate sales data, identifying progression bottlenecks, commercial exposure, recommended ownership and a 30-day recovery framework.

Open opportunities: 140
Open pipeline value: £8.2M
Stalled opportunities: 38 · £2.6M
Overdue proposals / missing next steps: 17 / 12

Findings and recommended priorities

• Stalled deals represented 27.1% of open opportunities and 31.7% of open pipeline value.
• The 17 proposals awaiting decisions for over 21 days highlighted decision latency and follow-up risk.
• At least 8.6% of open opportunities lacked a documented next step.
• Recommended deal-level triage, proposal decision reviews, recovery or requalification of stalled deals, and evidence-based forecast governance.

30-day recovery controls

• Days 1–5: validate counts, category overlap, deal ownership and CRM exception data.
• Days 6–10: review 38 stalled deals, 17 overdue proposals and 12 opportunities without next steps.
• Days 11–20: define dated recovery plans, escalation paths and requalification decisions.
• Days 21–30: introduce forecast inspections, aging controls and movement reporting.
• Proposed KPIs include 100% next-step completeness, documented stalled-deal disposition and at least a 25% reduction in stalled count through progression, requalification or closure.

Recorded business outcome: a completed executive assessment of pipeline exposure, bottlenecks, commercial risks, prioritized actions, role-based accountability, a 30-day execution plan and measurable pipeline hygiene and forecast-quality controls.

Evidence boundary: the supplied figures are aggregate inputs. Stalled deals, overdue proposals and missing-next-step categories may overlap and must not be added together. £2.6M is stalled pipeline value, not confirmed lost revenue. No deal-level recovery, conversion uplift, customer contact or CRM changes are claimed.

Business ProcessRecorded execution: completed

Customer Support Escalation & SLA Recovery

A completed analytical business process evaluated escalation exposure, unresolved support tickets and first-response performance for a fictional B2B software company. The resulting executive report established a phased recovery plan, ownership model, measurable controls and explicit evidence boundaries.

Customers / monthly tickets: 1,200 / 950
Unresolved backlog: 165
Overdue high-priority cases: 29
First response / target · CSAT: 19h / 8h · 78%

Evidence-based assessment

• The 165 unresolved tickets equalled 17.4% of monthly ticket volume; 29 overdue high-priority cases represented 17.6% of the backlog.
• Average first response exceeded the 8-hour target by 11 hours. Average response time does not establish the actual SLA breach rate.
• Potential causes such as staffing coverage, queue routing, escalation ownership and recurring issues were identified as hypotheses, not proven root causes.
• Recommended owners span support operations, team leadership, escalation management and relevant cross-functional teams.

Phased 30-day recovery plan

• Days 1–3: establish authoritative backlog and SLA baselines; assign owners and next actions to all 29 overdue high-priority cases.
• Days 4–14: triage aging tickets, rebalance workloads and validate root-cause hypotheses.
• Days 15–21: formalize escalation procedures, capacity controls and cross-functional ownership.
• Days 22–30: evaluate KPI trends, reconcile backlog movement and establish recurring governance.
• Proposed controls: move average first response toward 8 hours, reduce backlog by at least 25% to 124 or fewer tickets subject to intake, and establish complete escalation ownership.

Recorded business outcome: completed operational recovery assessment and KPI framework, including escalation priorities, ownership recommendations, checkpoints and 30-day management targets. The executive report records completed task results; its separate AI executive synthesis timed out.

Evidence boundary: fictional aggregate inputs only. Ticket-level records, confirmed root causes, SLA attainment and survey sample details were not provided. Targets are not achieved results; no customer contacts, ticket modifications or operational improvements are claimed.

Recorded execution example · Automations

From workspace analytics to an executive report.

A configured Polyosync automation collected available commercial metrics, used an internal AI Employee to evaluate data gaps and risks, and generated an executive report with recorded step evidence.

AutomationReport generated · final AI synthesis timed out

Revenue Leakage Detection & Executive Reporting

Triggered manually, the workflow retrieved 30 days of sales analytics from the Polyosync workspace, passed the available evidence to Alex, an internal AI Employee, and recorded an executive assessment of commercial visibility, potential leakage and corrective priorities.

Analysis window: 30 days
Recorded leads: 0
Recorded conversations: 4
Prioritized investigations: 3

Recorded workflow

1. Manual trigger starts the configured automation.
2. Workspace analytics tool retrieves the selected sales reporting window.
3. Alex evaluates available metrics and distinguishes verified findings from hypotheses.
4. The report action records task results and produces an executive PDF in Polyosync Reports.

Executive findings

• Investigate why no leads were recorded despite four conversations in the reporting period.
• Reconcile CRM, forms and conversation-to-lead capture before inferring actual demand.
• Improve revenue-source visibility and attribution before quantifying commercial leakage.
• Establish consistent funnel reporting to make conversion trends measurable.

Recorded outcome: a four-page executive report containing tool results, AI findings, prioritized investigations and limitations. The report was generated, but its separate final AI executive synthesis timed out; this example does not claim an entirely error-free run.

Evidence boundary: this execution used the available workspace data, not a fictional financial recovery scenario. Zero recorded leads does not prove zero real-world demand, and missing connected revenue sources prevent any quantified leakage or recovered-revenue claim. No autonomous schedule, customer outreach or business-system modification is claimed.

For businesses

Start with the task your team keeps repeating.

Choose a concrete job, connect the knowledge and systems it needs, then add complementary AI Employees as the operation grows.

Customer experience

Customer Support

Answer customer questions, use business knowledge, resolve routine requests and hand exceptions to the right person.

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Revenue

Sales

Capture inbound demand, qualify prospects, answer questions, book meetings and keep sales conversations moving.

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Booking

Appointment Booking

Handle availability questions, collect the right details and move customers from conversation to confirmed booking.

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Revenue

Lead Qualification

Ask configured qualification questions, structure lead information and route high-intent opportunities to your team.

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Revenue

Lead Follow-up

Keep conversations moving after the first interaction with consistent, timely follow-up across connected channels.

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Operations

Turn repetitive operational requests into defined workflows across business systems, with permissions and human escalation.

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Commerce

E-commerce Support

Answer product and order questions, explain policies and route cases that need a human.

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Marketing

Marketing Operations

Support recurring research, campaign preparation, content workflows and reporting without adding another manual queue.

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Inside Polyosync

Less manual chasing. A clearer next step for every enquiry.

The same platform can move from a single AI Employee to coordinated workforce execution, autonomous workflows and controlled business processes.

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Polyosync AI workforce dashboard, AI workforce coordination and autonomous workflows

Execution evidence library

Explore the executions and open the original reports.

Each case below links to its original recorded screenshots and available PDF report. These are internal platform test executions using fictional business scenarios, not independently verified customer results. The objectives, execution findings and limitations are described in the case studies above and in the reports.