The Model

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Examples

See AI put to work on real teams.

You name the outcome. Here is how that looks inside a team - people up, grind down, system running. Start where money moves or capacity is stuck.

Grow revenue

Get more out of the channels you have. Open new ones.

Sales Close more, with better context earlier.

Sales

Close more, with better context earlier.

Close more, with better context earlier.

Today

Research, follow up, proposals and pipeline admin stop eating the week. Sellers spend time on deals. Agents carry the repeatable work underneath.

Rebuilt

Agents underneath. Your people on judgement and ownership.

People · same seats, titles move up

Head of sales
Revenue operating leadSets growth priorities and governs the revenue agents
Account executive
Account strategistOwns relationship, negotiation and commercial judgement
SDR / BDR
Pipeline orchestratorSupervises research, outreach and qualification agents
Sales operations
Revenue systems architectKeeps CRM, workflow and reporting clean
Customer success manager
Expansion intelligence leadTurns customer signals into renewal and growth actions
Marketing operations
Signal and campaign ownerConnects market activity to account priorities

Conversion

Better context earlier in the deal

Cycle time

Research, prep and follow up run continuously

Coverage

More accounts without more admin headcount

Tools and data · full detail

Technology · today

CRMEmailCalendarLinkedInMarketing automationProposal docsBI dashboards

Manual handoffs, swivel chair work, context assembled by hand.

Technology · rebuilt

Same stack, keptAccount research agentMeeting prep agentProposal agentFollow up agentForecast agentHandover agent

People lead and gate. Agents carry the repeatable work.

Data · today

  • CRM notes are uneven
  • Call transcripts are underused
  • Proposal knowledge lives in folders
  • Lost deals rarely become reusable learning
  • Forecasts depend on manual updates

Data · rebuilt

  • Account context continuously assembled
  • Objections, buying signals and next steps captured
  • Proposal patterns reused safely
  • Forecast risk updated from live activity
  • Customer handover becomes traceable
Marketing Demand on, without a bigger headcount.

Marketing

Demand on, without a bigger headcount.

Demand on, without a bigger headcount.

Today

Content, campaigns, channels and attribution stop restarting from zero each cycle. Marketers own the story. Agents keep the machine running.

Rebuilt

Agents underneath. Your people on judgement and ownership.

People · same seats, titles move up

Head of marketing
Demand operating leadSets demand priorities and governs the marketing agents
Content marketer
Narrative and editorial leadOwns the story while the agent drafts and adapts to channel
Campaign manager
Campaign orchestratorSupervises setup, sequencing and channel agents
Performance marketer
Channel intelligence leadTurns spend and signal into where to lean in
Marketing analyst
Attribution and insight leadConnects activity to pipeline with traceable evidence
Brand manager
Brand and assurance ownerKeeps voice, claims and assets consistent and on brand

Pipeline

More demand activity without more headcount

Speed

Briefs, drafts and setup run continuously

Quality

Brand and claims stay consistent everywhere

Tools and data · full detail

Technology · today

CMSMarketing automationAd platformsSocial toolsAnalyticsDesign toolsCRM

Manual handoffs, swivel chair work, context assembled by hand.

Technology · rebuilt

Same stack, keptContent drafting agentCampaign setup agentChannel optimisation agentAttribution agentBrand check agentReporting agent

People lead and gate. Agents carry the repeatable work.

Data · today

  • Content briefs rebuilt every time
  • Campaign learnings stay in people’s heads
  • Channel data sits in separate dashboards
  • Attribution stitched together by hand
  • Brand guidelines checked inconsistently

Data · rebuilt

  • Briefs and drafts assembled from proven patterns
  • Campaign learnings captured and reused safely
  • Channel signals monitored live in one place
  • Attribution maintained continuously with source links
  • Brand and claims checked before anything ships
Customer Support Retain and expand, not just close tickets.

Customer Support

Resolve faster. Keep the customer.

Retain and expand, not just close tickets.

Today

Triage, knowledge and escalations stop eating the team. Resolution quality holds. Retention risk shows up before churn.

Rebuilt

Agents underneath. Your people on judgement and ownership.

People · same seats, titles move up

Head of support
Support operating leadSets service priorities and governs the support agents
Support agent, tier 1
Resolution specialistHandles judgement cases while the agent drafts and resolves routine tickets
Support agent, tier 2
Escalation leadOwns the hard cases and supervises the triage agent
Knowledge manager
Knowledge orchestratorKeeps answers current as the agent learns from every resolution
Support analyst
Experience insight leadReads CSAT and volume signals to fix root causes
Team lead
Quality and assurance ownerReviews tone, accuracy and sensitive responses

Retention

Issues fixed before they become churn

Speed

Triage in seconds, drafts ready for review

Capacity

More resolved without more headcount

Tools and data · full detail

Technology · today

HelpdeskKnowledge baseLive chatEmailCRMPhone systemSurvey tools

Manual handoffs, swivel chair work, context assembled by hand.

Technology · rebuilt

Same stack, keptTriage agentDrafting agentKnowledge agentEscalation agentCSAT signal agentReporting agent

People lead and gate. Agents carry the repeatable work.

Data · today

  • Tickets triaged by hand
  • Answers buried across articles and chats
  • Repeat issues solved again and again
  • Escalations tracked in spreadsheets
  • CSAT read after the fact

Data · rebuilt

  • Tickets triaged and routed in seconds
  • Best answers surfaced and kept current
  • Repeat issues captured as reusable resolutions
  • Escalations queued with full context for humans
  • CSAT and volume signals monitored live
Strategy Faster bets. Fresher evidence.

Strategy

Commercial decisions with current intel.

Faster bets. Fresher evidence.

Today

Research, market scanning and board narrative stop waiting on the next planning cycle. Strategy owns the thesis. Agents assemble the evidence.

Rebuilt

Agents underneath. Your people on judgement and ownership.

People · same seats, titles move up

Head of strategy
Strategy operating leadSets the strategic agenda and governs the strategy agents
Strategy manager
Insight and judgement leadOwns the thesis while the agent assembles the evidence
Market analyst
Market intelligence orchestratorSupervises scanning and synthesis agents
Research analyst
Research synthesis leadTurns scattered sources into decision ready briefs
Planning analyst
Planning and scenario leadReads signals into options and trade offs
Strategy associate
Narrative and assurance ownerReviews the board story and source quality

Capacity

Broader scanning without a bigger team

Speed

Research and briefs assembled continuously

Quality

Decisions rest on current, sourced evidence

Tools and data · full detail

Technology · today

Research databasesMarket feedsSpreadsheetsPresentation toolsBI dashboardsEmailDocument store

Manual handoffs, swivel chair work, context assembled by hand.

Technology · rebuilt

Same stack, keptMarket scanning agentResearch synthesis agentScenario agentBriefing agentBoard narrative agentReporting agent

People lead and gate. Agents carry the repeatable work.

Data · today

  • Market scanning done in bursts
  • Research reassembled for every question
  • Competitor signals scattered across sources
  • Planning inputs gathered by hand
  • Board narrative rebuilt every cycle

Data · rebuilt

  • Market and competitor signals scanned continuously
  • Research synthesised with traceable sources
  • Scenarios modelled from live inputs
  • Planning evidence kept current
  • Board narrative maintained as the picture changes

Free up your people

Faster cycles, less grind. Judgement, not rework.

Finance Decision support that keeps pace with the business.

Finance

Faster decisions. Cleaner numbers. Same team.

Decision support that keeps pace with the business.

Today

Close, variance, cash and board packs stop being a monthly scramble. Finance advises while the work is still live.

Rebuilt

Agents underneath. Your people on judgement and ownership.

People · same seats, titles move up

CFO / finance lead
Finance operating leadSets the decision rhythm and governs the finance agents
FP&A analyst
Scenario and insight leadSupervises forecasting, variance and scenario agents
AP / AR officer
Cashflow orchestration ownerManages exceptions, approvals and working capital actions
Management accountant
Decision pack ownerTurns close and variance into executive narrative
Procurement analyst
Spend intelligence leadFinds leakage, supplier risk and savings opportunities
Compliance analyst
Assurance leadKeeps policy, controls and evidence current

Decision speed

Close, variance and cash context update live

Capacity

Less time assembling the same pack

Control

Sensitive approvals stay with humans

Tools and data · full detail

Technology · today

ERPPayrollBank feedsInvoice OCRSpreadsheetsBISharePoint

Manual handoffs, swivel chair work, context assembled by hand.

Technology · rebuilt

Same stack, keptClose agentVariance agentCash forecast agentScenario agentPolicy agentBoard pack agent

People lead and gate. Agents carry the repeatable work.

Data · today

  • Close data spread across ERP and spreadsheets
  • Manual variance commentary
  • Supplier and contract data fragmented
  • Policy checks happen late
  • Board packs rebuilt every cycle

Data · rebuilt

  • Close evidence assembled continuously
  • Variance narrative drafted with source links
  • Cash and supplier signals monitored live
  • Policy exceptions queued for human approval
  • Board pack evidence maintained as work happens
Operations The same model works when the manual work is process execution, scheduling, exception h…

Operations

Operations team, rebuilt for self correcting flow.

The same model works when the manual work is process execution, scheduling, exception handling, meeting SLAs and managing vendors.

Today

The same model works when the manual work is process execution, scheduling, exception handling, meeting SLAs and managing vendors.

Rebuilt

Agents underneath. Your people on judgement and ownership.

People · same seats, titles move up

Head of operations
Operations operating leadSets flow priorities and governs the operations agents
Operations manager
Flow orchestratorOwns the process while the agent runs the routine path
Process analyst
Process intelligence leadTurns bottleneck signals into design improvements
Scheduler
Scheduling orchestratorSupervises planning and replanning agents
Operations analyst
Exception and SLA leadReads SLA risk and resolves exceptions before breach
Vendor coordinator
Vendor and assurance ownerReviews vendor performance and gates escalations

Capacity

More throughput without more coordinators

Speed

Exceptions caught and resolved continuously

Quality

SLAs held with fewer surprises

Tools and data · full detail

Technology · today

ERPWorkflow toolScheduling systemTicketingSpreadsheetsEmailBI dashboards

Manual handoffs, swivel chair work, context assembled by hand.

Technology · rebuilt

Same stack, keptProcess agentScheduling agentException agentSLA monitor agentVendor agentReporting agent

People lead and gate. Agents carry the repeatable work.

Data · today

  • Process steps tracked by hand
  • Exceptions noticed late
  • Schedules rebuilt when things change
  • SLA breaches found after the fact
  • Vendor performance reviewed occasionally

Data · rebuilt

  • Process flow tracked continuously
  • Exceptions surfaced and routed as they happen
  • Schedules replanned live when inputs change
  • SLA risk flagged before breach
  • Vendor performance monitored against terms
HR Hire, retain and develop without drowning in process.

HR

People decisions without the admin drag.

Hire, retain and develop without drowning in process.

Today

Screening, onboarding, performance and retention signals run continuously. Sensitive people decisions stay human.

Rebuilt

Agents underneath. Your people on judgement and ownership.

People · same seats, titles move up

Head of HR
People operating leadSets people priorities and governs the HR agents
Recruiter
Talent strategistOwns hiring judgement while the agent screens and schedules
HR coordinator
Onboarding orchestratorSupervises the joining, equipment and access workflows
HR business partner
Performance and growth leadTurns continuous signals into coaching and development
HR analyst
People insight leadReads retention and engagement risk before it becomes attrition
Employee relations officer
Case and assurance ownerManages sensitive cases with full audit and human sign off

Capacity

More roles and people covered without more admin

Speed

Screening, onboarding and follow up run continuously

People up

HR moves from processing to advising

Tools and data · full detail

Technology · today

HRISATSPayrollLMSSurvey toolsEmailSpreadsheets

Manual handoffs, swivel chair work, context assembled by hand.

Technology · rebuilt

Same stack, keptScreening agentOnboarding agentPerformance agentRetention signal agentCase intake agentReporting agent

People lead and gate. Agents carry the repeatable work.

Data · today

  • Applications reviewed one by one
  • Onboarding checklists in spreadsheets
  • Performance notes scattered across managers
  • Engagement surveys read once a year
  • Case history lives in inboxes

Data · rebuilt

  • Candidate context assembled and ranked for human review
  • Onboarding tracked live across every team
  • Performance signals captured as work happens
  • Retention risk surfaced continuously, decisions stay human
  • Case records unified, sensitive actions gated and audited
Procurement The same structure applies when the grind is sourcing, supplier risk checks, contract h…

Procurement

Procurement team, rebuilt for intelligent sourcing.

The same structure applies when the grind is sourcing, supplier risk checks, contract handling, spend analysis and approval routing.

Today

The same structure applies when the grind is sourcing, supplier risk checks, contract handling, spend analysis and approval routing.

Rebuilt

Agents underneath. Your people on judgement and ownership.

People · same seats, titles move up

Head of procurement
Procurement operating leadSets sourcing priorities and governs the procurement agents
Category manager
Category strategistOwns commercial judgement while the agent runs market scans
Buyer
Sourcing orchestratorSupervises the request, quote and approval workflows
Contracts officer
Contract and obligation ownerReviews terms as the agent extracts and tracks obligations
Procurement analyst
Spend intelligence leadFinds leakage, savings and consolidation opportunities
Supplier risk officer
Supplier assurance ownerReviews and gates supplier onboarding and risk decisions

Capacity

More sourcing covered without more buyers

Speed

Requests, quotes and approvals move continuously

Risk

Supplier exposure watched all the time

Tools and data · full detail

Technology · today

Procurement systemERPContract repositorySupplier portalSpreadsheetsEmailBI dashboards

Manual handoffs, swivel chair work, context assembled by hand.

Technology · rebuilt

Same stack, keptSourcing agentSupplier risk agentContract agentSpend analysis agentApproval routing agentReporting agent

People lead and gate. Agents carry the repeatable work.

Data · today

  • Supplier requests handled by email
  • Supplier risk checked once at onboarding
  • Contract terms buried in PDFs
  • Spend analysed in occasional reports
  • Approvals chased manually

Data · rebuilt

  • Requests captured and routed automatically
  • Supplier risk monitored continuously
  • Contract terms and obligations extracted and tracked
  • Spend and leakage surfaced live
  • Approvals queued for human sign off with full context
Legal The same structure applies when the repetitive load is contract review, tracking obliga…
IT Free IT from ticket grind so change work ships.

IT

Service desk that clears the queue, not the calendar.

Free IT from ticket grind so change work ships.

Today

Routine requests, access and incidents stop dominating the week. Humans keep the gates on change and access.

Rebuilt

Agents underneath. Your people on judgement and ownership.

People · same seats, titles move up

Head of IT
IT operating leadSets service priorities and governs the IT agents
Service desk technician
Resolution specialistHandles judgement cases while the agent clears routine requests
Systems administrator
Reliability leadSupervises the incident and change agents
Asset manager
Asset and lifecycle ownerKeeps inventory accurate as the agent tracks every change
IT analyst
Service insight leadReads incident and demand signals to prevent repeat issues
Access administrator
Access and assurance ownerReviews and gates every access change, fully audited

Capacity

More requests cleared without more technicians

Speed

Routine tickets resolved continuously

Control

Access and change stay with human approval

Tools and data · full detail

Technology · today

ITSM ticketingAsset databaseMonitoringIdentity providerMDMEmailKnowledge base

Manual handoffs, swivel chair work, context assembled by hand.

Technology · rebuilt

Same stack, keptService desk agentIncident agentChange agentAsset agentAccess request agentReporting agent

People lead and gate. Agents carry the repeatable work.

Data · today

  • Tickets categorised by hand
  • Asset inventory drifts out of date
  • Incident history scattered across tools
  • Change records filled in after the fact
  • Access requests approved over email

Data · rebuilt

  • Tickets categorised and routed automatically
  • Asset inventory reconciled continuously
  • Incident context assembled in one place
  • Change records maintained as work happens
  • Access requests queued for human approval, fully audited
Data & Analytics The same structure applies when the grind is data quality, lineage tracking, governance…

Data & Analytics

Data and analytics team, rebuilt for trustworthy AI readiness.

The same structure applies when the grind is data quality, lineage tracking, governance, privacy controls and getting data ready for AI.

Today

The same structure applies when the grind is data quality, lineage tracking, governance, privacy controls and getting data ready for AI.

Rebuilt

Agents underneath. Your people on judgement and ownership.

People · same seats, titles move up

Head of data
Data operating leadSets data priorities and governs the data agents
Data engineer
Pipeline reliability leadOwns design while the agent monitors and repairs pipelines
Data analyst
Insight and quality leadSupervises the quality and profiling agents
Data steward
Governance orchestratorKeeps definitions and ownership current as data changes
Privacy analyst
Privacy and assurance leadReads access and exposure signals against policy
Data governance lead
AI readiness ownerReviews and gates what data agents may see and use

Capacity

More sources governed without more stewards

Speed

Quality and lineage stay current, not catch up work

Control

What agents may see stays governed and audited

Tools and data · full detail

Technology · today

Data warehouseETL toolsCatalogueBI platformQuality toolsAccess controlsSpreadsheets

Manual handoffs, swivel chair work, context assembled by hand.

Technology · rebuilt

Same stack, keptQuality monitoring agentLineage agentGovernance agentPrivacy agentReadiness agentReporting agent

People lead and gate. Agents carry the repeatable work.

Data · today

  • Quality issues found by downstream users
  • Lineage mapped occasionally by hand
  • Definitions drift across teams
  • Privacy classification done in spreadsheets
  • AI readiness assessed project by project

Data · rebuilt

  • Quality monitored continuously, issues caught early
  • Lineage tracked live across every pipeline
  • Definitions and ownership kept current
  • Privacy and access classified and enforced, fully audited
  • Data readiness for AI maintained as a living view

How it stays safe

Evidence, gates and risk - cyber woven through the build.

Risk and Compliance Evidence live, not rebuilt for each audit.

Risk and Compliance

Assurance that keeps pace with the business.

Evidence live, not rebuilt for each audit.

Today

Control testing, obligations and audit prep stop being a seasonal scramble. Humans still own interpretation and sign off.

Rebuilt

Agents underneath. Your people on judgement and ownership.

People · same seats, titles move up

Head of risk
Risk operating leadSets the assurance rhythm and governs the risk agents
Compliance analyst
Obligations leadOwns interpretation while the agent maps and tracks obligations
Controls tester
Control assurance specialistSupervises continuous testing and reviews exceptions
Audit coordinator
Evidence orchestratorKeeps audit evidence current as work happens
Risk analyst
Risk insight leadReads control and incident signals to flag emerging risk
Reporting officer
Regulatory reporting ownerReviews and signs off reporting to the board and regulators

Capacity

Continuous assurance without a bigger team

Speed

Control evidence stays audit ready, always

Risk

Emerging exposure surfaced before it bites

Tools and data · full detail

Technology · today

GRC platformControl spreadsheetsPolicy repositoryTicketingEmailEvidence foldersBI dashboards

Manual handoffs, swivel chair work, context assembled by hand.

Technology · rebuilt

Same stack, keptObligations agentControl testing agentEvidence agentRisk signal agentReporting agentAudit prep agent

People lead and gate. Agents carry the repeatable work.

Data · today

  • Obligations tracked in spreadsheets
  • Controls tested periodically by hand
  • Evidence gathered in a rush before audits
  • Sector and privacy obligations mapped by hand
  • Board and regulator reports rebuilt each cycle

Data · rebuilt

  • Obligations mapped and monitored continuously
  • Controls tested live, exceptions queued for review
  • Evidence assembled and current at all times
  • Sector and privacy obligations tracked against live controls
  • Reporting drafted with source links, humans sign off

Depth proof

Cybersecurity, already running.

Putting AI to work under real governance. Grind down. Humans on judgement and the board.

69

builds running

10

security functions

12

other team patterns

CISO Office Board clarity in minutes.
SOC & IR Triage faster, escalate smarter.
GRC & Risk Live evidence, not static packs.
Exposure Findings to decisions.
IAM Identity review that scales.
OT & CI One converged picture.
Cyber team · people and pattern

Cybersecurity

Cybersecurity depth case.

Governance that holds under growth.

Today

Security work is split across tools, tickets, dashboards, controls and board questions, with people stitching the picture together by hand.

Rebuilt

The team runs through a governed security evidence lane: approved inputs, a security lead review, an evidence map, a control and action register, an approval gate and board ready output.

People · same seats, titles move up

Jack Turner CISO Sets security strategy, governs the agents, owns the board narrative was Head of security
Priya Nair Detection engineer Builds detections, supervises the triage agent was SOC analyst, tier 1/2
Daniel Okafor Threat hunter Runs proactive hunting and deeper investigations was SOC analyst, tier 1/2
Sarah Mitchell Risk and assurance lead Reviews and signs off evidence was GRC analyst
Lachie Reid Orchestration architect Builds and runs the AI layer was Security engineer
Ben Wallace Exposure manager Owns outcomes and drives remediation was Vulnerability / IAM analyst

Board speed

Evidence packs ready when the question lands

Coverage

Same team covers more ground without more grind

Ownership

The system and the judgement are theirs

Tools and data · full detail

Technology · today

SIEM / log platformEDR / XDRSOARVuln scannerASM / EASMCSPM / CNAPPCloud consolesIAM / PAMMDMEmail securityDLP / CASBFirewall / WAFTicketingGRC / risk registerCMDB / asset inventoryThreat intel

Manual handoffs, swivel chair work, context assembled by hand.

Technology · rebuilt

Same stack, connectedRead only connectorsSecurity evidence fabricPolicy gate engineAlert triage agentExposure correlationIdentity risk viewControl evidence agentRemediation trackerBoard pack generatorAudit trail

The control plane connects the stack, ranks the work, records the evidence and gates anything sensitive.

Data · today

  • Alerts, logs and detections across separate timelines
  • Vulnerability and exposure findings with disputed owners
  • Identity, device and cloud signals that rarely line up
  • Asset inventory, CMDB and crown jewel lists out of sync
  • Control evidence, exceptions and audit artefacts collected by hand
  • Incident notes, runbooks and decisions spread across tickets and docs
  • Remediation status buried in Jira, ServiceNow, email and spreadsheets
  • Board metrics rebuilt manually from whatever source is trusted that week

Data · rebuilt

  • Alerts, assets, identities, vulnerabilities and controls reconciled into one picture
  • Each finding tied to owner, business system, evidence source and current status
  • Agent work stays read only until a named human approves sensitive action
  • Control evidence and exceptions kept live instead of rebuilt for each audit
  • Remediation tracked from signal to ticket to closure to board metric
  • Every board claim carries source data, assumptions, reviewer and approval

Talk to us

Pick one team. Put AI to work.

Define. Deploy. Run. Engineers on the build, not a junior bench.