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Our AI solutions · Enterprise AI agents

One agentic workforce for the whole enterprise.

The same governed capability stack that runs finance, pointed at every other function: thirteen domain agents for planning, customers, people, legal, marketing, strategy, supply chain, operations, assurance, knowledge, product and sales. Each with the pain it removes, the use cases it runs and the outcome it is judged on.

SynapseIntegrated Business PlanningEchoCustomer ServicePrometheusResearch & InnovationEthosHuman ResourcesThemisLegal & CompliancePharosMarketingPolarisStrategy & PerformanceAgoraProcurement, Logistics & InventoryForgeOperationsArgusAudit & Fraud DetectionCodexDocument ManagementDaedalusProduct DevelopmentMercurySales
Synapse
Integrated Business Planning

Synapse

S&OP and Cross-Functional Alignment · the cross-functional planning agent

5–15%ROI · Payback < 12 months
The pain
  • Sales, finance and supply chain plans never quite reconcile.
  • S&OP cycles are monthly at best; markets move daily.
  • Demand-forecast accuracy stalls in the 60s.
  • Trade-off decisions are made too late, by too few people.
Agentic use cases
Demand sensing from real-time, multi-source signalsCross-functional what-if scenario simulationConsensus orchestration across Sales, Ops, FinanceNew-product-introduction planning and ramp curvesInventory-vs-service-level trade-off optimisationLong-range capacity and capex planning linkageSupply-demand balancing with constraint awarenessAuto-generated S&OP narratives and decision packsCapacity and resource planningPromotion and trade-spend impact modellingFinancial reconciliation of operational plan to P&L computation
Outcomes
  • Cycle: monthly → weekly
  • Forecast accuracy +15–25%
  • Service level +5–10 points
  • Plan reconciliation: hours, not days
  • Cross-functional consensus accelerated
Value drivers
  • Working capital release: 5–15%
  • Revenue from improved service levels
  • Margin from reduced stockouts
“One number, every week, agreed across functions.”S&OP shifts from monthly ritual to weekly operating rhythm.
Echo
Customer Service

Echo

Support, Success & Experience · the customer experience agent

30–50%ROI · Payback < 9 months
The pain
  • Ticket volume rises faster than headcount; wait times follow.
  • Agents burn out on repetitive tier-1 work.
  • Answers are inconsistent across channels and languages.
  • Only 1–2% of interactions are ever quality-reviewed.
Agentic use cases
AI tier-1 deflection across chat, email and voiceAuto ticket classification, routing and prioritisationKnowledge-base auto-curation from resolved ticketsMultilingual support across 50+ languagesProactive outreach when telemetry detects an issueCo-pilot for human agents: next-best-response in real timeSentiment analysis and churn-risk detection per interactionVoice-of-customer synthesis across all touchpointsPost-interaction QA on 100% of interactionsRefund, return and warranty-claim automation.
Outcomes
  • 40–70% tier-1 deflection
  • CSAT +10–20 points
  • Handle time −30% 100% post-interaction QA (vs ~2%) ▸
  • First-contact resolution +20%
Value drivers
  • Cost-to-serve: $1M+ per 100 agents
  • Retention: 2–3 pt churn improvement
  • NPS-driven LTV gains
“Tier-1 deflected, tier-2 amplified, tier-3 pre-empted.”Service stops being a cost centre and starts driving retention.
Prometheus
Research & Innovation

Prometheus

R&D, IP and Open Innovation · the discovery & insight agent

2–4×ROI · Payback 12–18 months
The pain
  • R&D pipelines are fragmented across teams, regions and tools.
  • Knowledge from past projects gets lost; the same problems are solved twice.
  • Literature, patent and competitor scanning is manual and incomplete.
  • Time-to-insight is slow, by the time research lands, the market has moved.
Agentic use cases
Literature, patent and prior-art scanning across millions of documentsHypothesis generation and experiment-design co-pilotKnowledge graph across past projects, IP and internal SMEsResearch-paper drafting, citation and peer-review co-pilotIdea-to-stage-gate triage with scoring frameworksCross-project insight reuse and knowledge transferCompetitive technology intelligence and trend synthesisLab-notebook automation and structured experiment captureGrant and funding-opportunity discoveryOpen-innovation scouting: start-ups, universities, partnersInnovation-portfolio analytics with ROI / risk profilingIP-position mapping and freedom-to-operate analysis
Outcomes
  • Time-to-insight: weeks → days
  • Experiments per researcher +30–50%
  • Idea-to-stage-gate cycle compressed 40–60%
  • Patent-filing throughput +20–40%
  • Knowledge retention post-attrition ~100%
Value drivers
  • R&D productivity uplift, more output per FTE
  • Faster commercialisation, revenue brought forward
  • Avoided duplication, reusing past work and IP
“Research that compounds, instead of repeating itself.”Past learning becomes future leverage: every project gets smarter than the last.
Ethos
Human Resources

Ethos

Talent, Workforce & People Ops · the people & talent agent

$5–15kROI · Payback < 12 months
The pain
  • Time-to-hire is too long; hiring managers route around HR.
  • Onboarding is inconsistent; productivity ramps too slowly.
  • Performance feedback is annual; growth is generic.
  • Attrition surprises management; replacement costs hurt.
Agentic use cases
AI sourcing, screening and shortlisting against role contextPersonalised onboarding journeys per role and locationSkills graph and internal mobility recommendationsAttrition-risk prediction with retention playbooksHR helpdesk for policy, leave and benefit questionsWorkforce planning aligned to business planInterview scheduling and interview co-pilotingContinuous performance feedback and goal trackingPersonalised learning paths and development nudgesCompensation benchmarking and band designDEI and pay-equity analytics
Outcomes
  • Time-to-hire −40%
  • Time-to-productivity −30%
  • Attrition −15 to −25%
  • Internal mobility +30%
  • HR helpdesk deflection 60–80%
Value drivers
  • Recruiting-cost reduction per hire
  • Retention savings: $30K–$80K per saved hire
  • HR-ops efficiency 30–50%
“Hire faster. Onboard better. Retain longer.”HR moves from administrator to architect of the workforce.
Themis
Legal & Compliance

Themis

Contracts, Regulatory & GRC · the contracts & regulatory agent

15–25%ROI · Payback 4–6 months
The pain
  • Contract review is a bottleneck; legal teams are perpetually behind the queue.
  • Regulatory change tracking across jurisdictions is manual and patchy.
  • KYC, AML and sanctions screening cycles take days, not minutes.
  • External counsel spend keeps rising; in-house teams keep firefighting
Agentic use cases
AI contract review against playbooks with risk and deviation flagsClause library and obligation extraction from executed contractsPolicy management and attestation trackingContinuous sanctions and PEP screeningCompliance reporting and regulator response automationData privacy (GDPR, PDPL, DPDP) request handlingFirst-draft generation for NDAs, MSAs, employment, vendor contractsRegulatory horizon scanning by jurisdiction with impact assessmentKYC / AML enhanced due diligence and adverse mediaE-discovery with semantic search for litigation and investigationsWhistleblower triage and investigation co-pilot
Outcomes
  • 60–80% faster contract turnaround
  • KYC cycle: days → minutes
  • Near-zero missed regulatory updates
  • 40–60% lower external counsel spend
  • Litigation discovery cost −50%
Value drivers
  • External-counsel spend savings: $500K– $3M/yr
  • Speed-to-revenue from faster contract close
  • Regulatory-fine avoidance
“Contract review at machine speed, with playbook-grade rigour.”Legal stops being the bottleneck. Compliance becomes continuous.
Pharos
Marketing

Pharos

Demand, Brand & Growth · the demand & growth agent

2–4×ROI · Payback 6–9 months
The pain
  • Content production is a bottleneck for every campaign.
  • Personalisation at scale is mostly a slogan, not a reality.
  • Attribution is fuzzy; CAC keeps creeping up.
  • Campaign optimisation is manual, weekly, after the fact.
Agentic use cases
Multi-format content generation: blog, ad, social, video scriptReal-time campaign performance optimisationAccount-based marketing orchestration end to endCreative-variant generation and on-brand asset productionInfluencer and partner identification and scoringLocalisation and translation at brand-grade quality1:1 personalisation engine across email, web and adsSEO and SEM auto-tuning with intent clusteringBrand and competitor monitoring with sentimentLead-to-revenue attribution and marketing-mix modellingEvent and webinar lifecycle automation automation.
Outcomes
  • 5–10× content output, lower cost
  • +20–40% conversion lift ▸
  • CAC −15 to −30%
  • ABM coverage ×3–5
  • Time-to-campaign: weeks → days
Value drivers
  • Agency-fee savings: $500K–$2M/yr
  • Pipeline contribution from personalisation
  • LTV/CAC ratio improvement
“Content production is no longer a constraint, taste is.”Marketing teams compose the system; the system delivers the work.
Polaris
Strategy & Performance

Polaris

Strategy, OKRs & Capital Allocation · the strategy agent

Multi-pointROI · Payback 12–18 months
The pain
  • Strategy and execution drift apart between board meetings.
  • KPI cascade is a paper exercise, not a living system.
  • Board reporting is backward-looking and 4 weeks late.
  • Strategic initiatives go off-track unnoticed for months.
Agentic use cases
KPI tree automation with cascading from enterprise to teamOKR auto-monitoring and progress narrativesCompetitive and market-intelligence synthesisStrategy-to-execution dashboard live across the C-suiteInvestor-relations support and analyst-call preparationESG performance tracking and reportingInitiative tracking with leading indicators, not just statusStrategic scenario planning (M&A, market entry, divestiture)Board pack and audit-committee report generationPerformance commentary and narrative draftingCapital-allocation and portfolio-optimisation analytics
Outcomes
  • Strategy cycle 3–5× faster ▸
  • On-track initiative rate +30%
  • Board insight: step-change
  • M&A target evaluation ×3
  • Capital-allocation cycle compressed
Value drivers
  • Initiative on-track rate drives transformation ROI
  • Capital reallocation efficiency
  • Strategic agility = market-cap impact
“Strategy you can see executing, in real time.”Boards get leading indicators, not lagging post-mortems.
Agora
Procurement, Logistics & Inventory

Agora

Source-to-Pay & Supply Chain Execution · the supply-chain agent

Self-fundingROI · Payback 6–9 months
The pain
  • Maverick spend leaks 5–15% of addressable value.
  • Supplier risk surfaces only after disruption.
  • Inventory is simultaneously short and excess.
  • Logistics costs creep; freight invoices go unaudited.
Agentic use cases
AI-driven sourcing: RFx automation and bid analysisSupplier risk monitoring (financial, ESG, geopolitical)Three-way match automation with exception routingMulti-echelon inventory optimisationCustoms, duty and trade-compliance optimisationReturns and reverse-logistics managementSpend analytics and savings-opportunity identificationContract management, compliance and renewal nudgesDemand forecasting at SKU × location granularityRoute, mode and carrier optimisationPredictive maintenance for fleet and equipment Freight-invoice audit and recovery
Outcomes
  • 5–15% addressable spend reduction
  • Stockouts −50%; excess −30%
  • Maverick spend −80%
  • Freight-invoice recovery 1–3% of spend
  • Supplier risk events caught early
Value drivers
  • Direct & indirect spend savings
  • Inventory carrying-cost reduction
  • Logistics & duty optimisation
“Every PO interrogated. Every supplier monitored. Every shipment optimised.”Source-to-pay turns from cost line into measurable margin lever.
Forge
Operations

Forge

Plant, Process & Productivity · the operations agent

8–15%ROI · Payback 9–12 months
The pain
  • Process variance across sites and shifts is the silent margin killer.
  • Quality issues are caught at the customer, not the line.
  • Maintenance is reactive; downtime is expensive.
  • SOPs are out of date; tribal knowledge owns the floor.
Agentic use cases
Process mining and end-to-end optimisationComputer-vision quality inspectionEnergy and utilities consumption optimisationSOP auto-generation, maintenance and translationRoot-cause analysis with cross-system correlationYield optimisation in process industriesPredictive maintenance from sensor and event dataProduction schedule optimisationSafety-event prediction and near-miss synthesisShift handover automation and digital logbookDigital twin for ops simulation and planningThroughput-bottleneck identification
Outcomes
  • OEE +5–10 points
  • Unplanned downtime −30 to −50%
  • Defect rate −20 to −40%
  • Energy intensity −5 to −10%
  • Safety incidents −20 to −30%
Value drivers
  • Output gains at constant cost
  • Maintenance-cost reduction
  • Quality-cost (scrap, rework) reduction
“The plant becomes self-aware.”Quality, maintenance and throughput stop competing: they compound.
Argus
Audit & Fraud Detection

Argus

Continuous Assurance & Forensics · the assurance & integrity agent

60–80%ROI · Payback < 6 months
The pain
  • Sample-based testing covers 1–5% of transactions and misses fraud.
  • "Continuous controls" are anything but continuous.
  • Investigations are slow, manual and reactive.
  • The audit committee receives lagging information, always.
Agentic use cases
Continuous controls monitoring across 100% of transactionsSegregation-of-duties (SoD) violation monitoringVendor and customer master-data integrity monitoringProcurement fraud: split POs, kickbacks, ghost vendorsForensic-investigation co-pilot with timeline reconstructionGRC reporting and audit-committee dashboardsAnomaly detection on payments, T&E and journal entriesFull-population journal-entry testingExpense fraud and policy-violation detectionRevenue cut-off and recognition testingAudit workpaper and evidence auto-generationWhistleblower-case triage and investigation support
Outcomes
  • Detection: quarters → days
  • 100% transaction coverage (vs 1–5% sampling)
  • Audit cycle 50% faster
  • Investigations 5–10× faster
  • Audit-committee insight in real time
Value drivers
  • Fraud savings: 0.5–2% of revenue at risk
  • External-audit fee reduction 15–25%
  • Compliance-fine avoidance
“100% of transactions reviewed. Every day. Quietly.”Assurance moves from periodic sample to continuous certainty.
Codex
Document Management

Codex

Knowledge, Search & Governance · the knowledge agent

1–2 hrsROI · Payback < 6 months
The pain
  • Documents are scattered across SharePoint, Drive, email and shared folders.
  • Nobody is sure which version is authoritative.
  • Tagging, classification and retention are inconsistent at best.
  • When people leave, their knowledge walks out with them.
Agentic use cases
Auto classification, tagging and metadata enrichmentVersion control and golden-source enforcementRetention-policy automation and defensible deletionDocument Q&A: interrogate the corpus in natural languageForm auto-fill from source documents and prior submissionsKnowledge-graph building from unstructured contentSemantic search across every repository (ask, don't hunt)Auto-redaction of PII and confidential dataOn-demand translation across languagesContract abstraction: key-term extraction at scaleInvoice, receipt and statement extraction with validation
Outcomes
  • Search time −80%
  • 100% retention compliance
  • Institutional knowledge retained
  • PII redaction 100% policy-compliant
  • Document Q&A across full corpus
Value drivers
  • Productivity uplift: $5K–$15K per worker/year
  • Data-leak prevention and risk mitigation
  • Defensible-deletion compliance
Daedalus
Product Development

Daedalus

Discovery, Build, Ship & Iterate · the build & ship agent

25–40%ROI · Payback 6–9 months
The pain
  • Product roadmaps drift from customer reality between releases.
  • Voice of customer is scattered across tickets, calls, surveys and reviews.
  • Specs are written once and become stale by sprint two.
  • Bugs found late cost 100× more than bugs found early
Agentic use cases
Voice-of-customer synthesis from tickets, calls, app reviews, NPSSpecs enriched with acceptance criteria and edge casesAI pair-programming with full codebase contextTest generation across unit, integration and end-to-endRelease-note drafting from commits and ticketsTelemetry-driven feature-usage analyticsPRD drafting from research and discovery sessionsUser-story breakdown and estimation co-pilotCode-review automation: style, security, regressionBug triage, root-cause hypothesis and reproduction stepsA/B-test design, monitoring and result analysisRoadmap prioritisation with RICE / value-effort scoring
Outcomes
  • Engineering velocity +20–40%
  • Defect-escape rate −40 to −60%
  • Time-to-launch −30 to −50%
  • Customer-feedback-to-feature: months → weeks
  • Roadmap-to-OKR alignment continuously visible
Value drivers
  • Engineering productivity, more shipped per FTE
  • Quality uplift, lower rework and support cost
  • Faster time-to-market, revenue brought forward
“From customer signal to shipped feature, without the broken telephone.”Product teams sense, build and learn at agentic pace.
Mercury
Sales

Mercury

Revenue Generation & Pipeline · the revenue agent

15–25%ROI · Payback 4–6 months
The pain
  • Reps spend ~70% of their time on non-selling activities.
  • Pipeline forecasting is gut-feel dressed up as a spreadsheet.
  • CRM hygiene is poor; account intelligence is shallow at best.
  • Lead qualification is slow, inconsistent, and leaks revenue.
Agentic use cases
Lead scoring and prioritisation with intent and fit signalsPersonalised multi-channel outreach sequencesDeal-level coaching with next-best-action recommendationsWin-loss analysis automation across closed dealsProposal and RFP response generation against approved contentCross-sell and up-sell signal detection in the install baseAccount research and briefing dossiers generated on demandAutonomous SDR: prospecting, scheduling, follow-upML-based pipeline forecasting with confidence intervalsCRM auto-update from emails, calls and meeting transcripts extraction at scaleDynamic pricing and discount-guardrail recommendations
Outcomes
  • +25–40% seller productive time
  • +10–20% win rate
  • +30% forecast accuracy
  • SDR capacity ×2–3
  • Pipeline coverage +30–50%
Value drivers
  • Revenue uplift: $50K–$200K per quota seller
  • Cost-of-sales: −10 to −15%
  • Sales-cycle velocity improvement

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