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Fixed-scope AI services.
Delivered to production.

Every service is productized with a defined scope, agreed success metric, and a 2–8 week delivery timeline. No open-ended retainers. No ambiguous deliverables.

Foundation

Business Ontology Sprint

Before any AI system is useful, it must understand your business. This 2-week sprint maps your entities, relationships, workflows, and operational context into a structured knowledge graph — the ontology that powers all downstream AI.

2-week sprint · Fixed scope · Remote or on-site
  • Entity and relationship discovery across your operations
  • Process mapping and decision-flow documentation
  • Knowledge graph design and implementation plan
  • AI readiness assessment and opportunity prioritisation
  • Technical architecture recommendation for your cloud
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What You Receive
Documented business ontology — entities and relationships
Knowledge graph implementation blueprint
AI opportunity prioritisation matrix
Cloud and model architecture recommendation
Scoped proposal for the next implementation phase
Data Extraction

Document Intelligence Pipeline

Turn document-heavy operations into structured, queryable data. OCR ingestion, intelligent field extraction, confidence scoring, and human-in-the-loop validation — for insurance, healthcare, compliance, contracts, and onboarding.

4–6 week delivery · Fixed scope · Production deployment
  • Multi-format document ingestion (PDF, scanned, Word)
  • AI-powered field extraction with confidence scoring
  • Validation interface for human review of edge cases
  • Structured output to your data platform or CRM
  • Analytics dashboard with processing KPIs
  • End-user web application for document management
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Delivery Process
1

Document audit

Understand formats, volumes, and required extraction fields

2

Pipeline build

OCR, extraction model, confidence scoring layer

3

Validation UI

Human review interface for low-confidence extractions

4

Production deploy

Live on your cloud with dashboards and monitoring

Knowledge AI

Enterprise Knowledge Copilot

Make your internal knowledge instantly accessible. A RAG-powered AI copilot and semantic search layer across your document repositories — so employees get answers in seconds with cited sources.

4–6 week delivery · Fixed scope · On your cloud
  • OCR ingestion from SharePoint, Google Drive, S3, file shares
  • Vector embedding and semantic index of all documents
  • RAG chatbot with natural language question answering
  • Source citation on every answer for traceability
  • Role-based access control on document visibility
  • Admin dashboard for knowledge base management
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Typical Outcomes
10,000+ documents indexed and queryable in natural language
60% reduction in time employees spend searching for information
Every answer includes the source document and page reference
Deployed on your Azure / AWS / GCP — data never leaves your cloud
Automation

Agentic Workflow Automation

AI agents that run operational workflows end-to-end. Intake classification, routing decisions, approval gates, and escalation paths — all automated and connected to your existing systems via API. Runs 24/7 without human handholding.

6–8 week delivery · Fixed scope · Production deployment
  • Intake classification and intelligent routing
  • Multi-step agent workflows with conditional logic
  • Approval gate and escalation management
  • Integration with CRM, ERP, or ITSM systems
  • Audit trail and compliance logging for every decision
  • Monitoring dashboard with agent performance metrics
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Delivered in Healthcare US
1

Workflow mapping

Map every manual step and decision point in the process

2

Agent design

Build agent roles, tools, and decision logic per workflow step

3

Integration

Connect to existing systems via secure APIs

4

Go live

Supervised rollout with monitoring and feedback loop

Not sure which service fits your problem?

Book a free 30-minute discovery call. We will listen to your challenge and recommend the right starting point — no sales pitch.