Products · Engine · Delivery

Your genAI product, built to your requirement.

Pick the capabilities you need; we assemble them into a product for your industry, connect it to your systems through a thin data layer, and ship it in weeks — governed end-to-end by the Control Centre. Your systems stay the source of truth, and every step can run Manual, AI-Assisted or Automated.

From requirement to live product — in weeks.

We don't ship a standard product and ask you to adapt. We build the product you need on a proven engine, connected to your data — so it's live fast, and compliant from day one.

01

Scope

We map the outcome you need, the data it uses, and the systems to connect — with compliance requirements up front.

02

Build on the engine

Your product is assembled on our common framework — orchestration, retrieval, guardrails, governance — not built from scratch.

03

Connect your data

A thin data-integration layer is provisioned per app and model, connecting to any system open to integrate. Your data stays in your environment.

04

Go live in weeks

Launch to a defined scope with human-in-the-loop, then expand — every decision measured and governed in the Control Centre.

One engine between your customers and your systems

Channels on top, your systems underneath — and a governed engine in the middle that we reuse on every build. That's why a product to your requirement ships in weeks.

Channels
ChatVoiceWeb & in-appEmailBroker & agent portals
Intelezen engine
Agent runtimeOrchestrationRetrieval & RAGGuardrailsEvals & monitoring
Control Centre
Manual / AI-Assisted / AutomatedRisk thresholdsAudit trailRollback
Thin data layer
APIsEventsFiles & documentsWarehousePII / PHI controls
Your systems
Core bankingPolicy adminCRMEHR / payerOrder management

Your data stays in your environment — your systems remain the source of truth.

Eight capabilities. One platform. Every industry.

Front-facing intelligent agents and the capabilities behind them — delivered as products, solutions and services. Mix and match them into the journeys your customers actually have; see how they come together by industry.

Front-Facing Intelligent Agents

Chat, voice, web and in-app agents that greet customers, understand intent and resolve requests end-to-end — escalating to your team when it matters.

ChatVoiceWeb & App

Enquiry & Servicing

Answer general enquiries, account, transaction and order-status questions, and product-support queries instantly — 24/7, across channels.

General enquiryAccount & transactionProduct support

Complaints Management

Lodge, triage, route, resolve and track complaints across every channel — with SLA timers and full audit trails.

Omnichannel intakeAuto-triageSLA & audit

Quotation & Pricing

Generate instant, accurate quotes through chat or voice — powered by your existing pricing and rating rules.

ConversationalRules-governedAuto-quote limits

Renewals & Retention

Proactive renewal reminders, instant re-quotes and save flows that keep customers — across voice, chat and email.

RemindersRe-quoteSave flows

Document Intelligence & OCR

Extract and structure data from forms, statements, policies and claims documents — straight into your existing systems.

OCRExtractionIntegration

Voice-Enabled Services

Natural-sounding inbound and outbound voice agents — enquiries, status updates, collections and renewals.

InboundOutboundMultilingual

Regulatory & Compliance Intelligence

Monitor transactions, communications and documents against regulatory rules — KYC/AML, reporting and alerts built in.

KYC/AMLMonitoringReporting

One dashboard. Full control over how AI works alongside your team.

The Control Centre is the operating layer behind every Intelezen automation service. It gives business owners — not just IT — a live view of each process and the ability to tune automation in real time.

  • Process map view — see every step of a claim, complaint or quote as it moves through the workflow, with a clear marker for whether AI or a human is acting on it right now.
  • Per-step automation toggle — switch any step between Manual, AI-Assisted (human approves) and Automated (AI executes, human notified) — independently, at any time.
  • Risk & confidence thresholds — e.g. "auto-approve claims under $2,000 with confidence above 95%." Anything outside the threshold routes to a human.
  • Maturity tracking — a scorecard showing what % of volume is automated per step, accuracy/override rates, and suggested next steps.
  • Full audit trail — every AI decision, override and toggle change is logged for compliance and review.
  • One-click rollback — switch any step back to manual or AI-assisted instantly, no re-implementation required.
Automation maturity38% of claims volume fully automated
Confidence thresholdAuto-approve set at ≥ 95% confidence
Audit trail1,482 AI decisions logged this month
Process stepAutomation levelToggle
Document intake & data extractionAutomated
Claim categorisation & triageAutomated
Policy & coverage verificationAI-Assisted
Fraud signal checksAI-Assisted
High-value claim decisioningManual

Illustrative example — toggles above are interactive for demonstration purposes only.

Three flagship processes, end to end.

See how three high-volume processes roll out through the Control Centre — the same framework applies to enquiries, servicing, renewals and the other journeys across banking and retail.

Claims automation that grows with your confidence — not against your controls.

Automate the claims lifecycle end-to-end — intake, triage, validation, decisioning and closure — while your existing claims management system remains the system of record.

How it works

01

Map the journey

Document the current claims process and identify repetitive, rules-based, high-volume steps.

02

Start low-risk

Begin with document intake, categorisation, completeness checks and triage/routing.

03

AI-assisted

AI recommends; assessors approve, adjust or reject — building a track record.

04

Automate in-scope

Once thresholds are met, the step runs automatically for defined claim types.

05

Expand

Extend automation to higher-value or more complex claim types over time.

Example low-risk starting points

  • Document and form intake (OCR + structured data extraction)
  • Claim categorisation and severity tagging
  • Policy and coverage verification against existing PAS
  • Duplicate and basic fraud-signal checks
  • Status updates and acknowledgements to claimants

What stays the same

  • Your claims management system remains the system of record
  • Assessors retain final say above the thresholds you set
  • Existing escalation and complaints pathways are unchanged
Claims process stepAutomation levelToggle
Document intake & extractionAutomated
Claim categorisation & triageAutomated
Duplicate / fraud-signal checksAI-Assisted
Claimant status updatesAutomated
Decisioning above $2,000Manual

Resolve more complaints, faster — without losing the human touch where it matters.

AI agents triage, categorise, draft and — where appropriate — resolve complaints across every channel, while your team controls exactly which complaint types are eligible for automated resolution.

How it works

01

Unify intake

Complaints from chat, email, voice and web are logged and categorised against your existing register.

02

AI-assisted drafting

AI prepares acknowledgements, updates and initial responses for your team to review and send.

03

Define eligible categories

Your team identifies low-risk, high-volume, well-precedented complaint types.

04

Toggle auto-resolution

For those categories only, AI can draft, send and close the case — fully auditable.

05

Monitor & expand

Track accuracy and escalation rates to decide which categories are ready next.

Example low-risk starting points

  • Intake categorisation and SLA-clock starting
  • Sentiment and urgency flagging for prioritisation
  • Drafting acknowledgement and status-update communications
  • Internal routing to the right team/owner
  • Auto-resolution for narrowly defined categories (e.g. duplicate submissions)

What stays the same

  • Your complaints register/CRM remains the source of truth
  • Regulatory reporting continues unchanged, with improved data quality
  • Escalation to human specialists remains the default outside defined categories
Complaints process stepAutomation levelToggle
Intake categorisation & SLA startAutomated
Acknowledgement drafting & sendingAutomated
Routing to specialist teamAI-Assisted
Auto-resolution: duplicate submissionsAutomated
Auto-resolution: billing disputesManual

Instant, accurate quotes — generated by AI, governed by your pricing rules.

Give customers and brokers real-time quotes through chat or voice, powered by your existing pricing engine and underwriting rules — with automation levels set by product, segment and risk band.

How it works

01

Connect to rating logic

AI agents call your existing pricing engine and rules rather than calculating prices independently.

02

Conversational capture

Customers or brokers provide inputs via chat or voice; AI structures this for your pricing system.

03

AI-assisted quoting

AI generates the quote and presents it to staff for a quick review/send.

04

Define eligibility

Your team sets which products, segments and value ranges are eligible for instant quoting.

05

Auto-quote & expand

In-scope segments get instant quotes; everything else routes to a specialist. Expand over time.

Example low-risk starting points

  • Conversational data capture for standard product enquiries
  • AI-assisted quote drafting for broker/agent review
  • Instant auto-quotes for simple, standard products within defined limits
  • Renewal quote generation and proactive reminders

What stays the same

  • Your pricing engine and underwriting rules remain the single source of truth
  • Specialist review remains mandatory for complex or out-of-policy cases
  • Existing broker/agent workflows continue, with less manual data entry
Pricing process stepAutomation levelToggle
Conversational data captureAutomated
Standard personal lines quoteAutomated
Renewal quote generationAutomated
Commercial / complex product quoteAI-Assisted
Quotes above defined value limitManual

Scope your first genAI product

Tell us the outcome and the systems to connect — we'll come back with a build plan, a timeline in weeks, and the Control Centre in action.

Book a Demo