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The agentic AI platform with
intelligent document processing.

Empower your team with AI agents that work alongside them, processing documents, running workflows, and answering questions with full traceability.

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Built by the team behind AI projects for

Process complex documents

Ingest contracts, reports, emails, and spreadsheets. Extract structured data. Search across thousands of documents. Cross-reference between sources and flag what doesn't add up.

Orchestrate workflows

Build with a visual editor or expressions. Human review gates that pause and wait. Deterministic execution: the same inputs always produce the same outputs. Full audit trail on every step.

Do the unexpected with agents

Every team member gets an agent that can reason across their documents, and invoke tools or workflows when precision matters. Per-user permissions. Full traceability.

GDPR compliant UK data residency Private infrastructure Full audit trail AES-256 encryption

The Platform

See CompleteFlow in action

Build and deploy AI agents from a single dashboard. Connect to your existing systems, automate document-heavy workflows, and scale across your organisation.

Chat
Workflows
Documents
JG
John Griffin
Chat
Prepare a briefing for the Morrison Holdings meeting tomorrow morning
AI
I'll prepare a briefing for your meeting with Morrison Holdings. Let me pull the matter history, recent correspondence, and check the attendees' profiles.
Running: Meeting Briefing Workflow
Workflow: Meeting Briefing
Retrieve matter documents
NetDocuments: 14 files retrieved
1.2s
Extract key dates and figures
12 dates, 8 financial figures extracted
3.4s
Search recent correspondence
Outlook: 23 emails in last 30 days
0.8s
Search attendee profiles
LinkedIn: Sarah Chen (CFO), David Park (GC)
2.1s
Generate briefing
14 documents + 23 emails + 2 profiles
4.2s
Meeting Briefing: Morrison Holdings Complete
Warranty clause conflict
The seller's disclosure letter (14 Mar) contradicts clause 7.3 of the SPA. The letter states no pending litigation, but email correspondence from 22 Feb references an ongoing employment tribunal claim. Recommend raising before exchange.
CHRONOLOGY
12 JanEngagement letter signed
8 FebInitial document request sent
3 MarShare purchase agreement drafted
18 MarDue diligence report submitted
28 MarBoard approval received
Financial Summary 8 figures Sources 14 docs Email Threads 23 emails
PERSONAL CONNECTIONS
CFO Sarah Chen also attended Rutgers (2008-2012). You overlapped for two years.
IN THE NEWS
Morrison Holdings appoints new head of M&A
Financial Times, 24 Mar. David Park promoted to GC with expanded M&A oversight. He is attending tomorrow and may have a broader mandate than previously understood.

Industries

Built for your industry

Handle the document-heavy work so lawyers can focus on client advice. Contract review, chronology extraction, due diligence, all on your infrastructure.

  • ✓ Contract review and clause extraction
  • ✓ Due diligence document processing
  • ✓ Regulatory change monitoring
Explore Legal use cases →

Results

What our clients have achieved

100x

throughput increase

Deployed an AI agent to screen 1.6 million legacy files, completing in weeks what would have taken 8 years of manual review.

Cabinet Office

86%

fewer false positives

Automated classification of sensitive records at scale, enabling confident destruction decisions across millions of files.

Government dept

90%

user satisfaction (NPS)

Conversational AI agent guiding patients through complex diagnosis pathways, validated by healthcare professionals and built to meet strict compliance standards.

Clinical nutrition

“This is the best use of AI within government I've seen!”

Luke Sands Cabinet Office

“Atchai developed critical agents that perform seamlessly within tight model constraints. Their precision and reliability made all the difference.”

Rakshak Talwar, Morpheus AI

“We found Atchai's experience and knowledge of this space invaluable. Their approach was very professional and well structured.”

Matt Scott, Danone

FAQ

Frequently asked questions

What types of documents can it process? +
PDFs, Word documents, Excel spreadsheets, emails, and plain text. The platform extracts structured data, searches across documents using vector search, cross-references figures between sources, and generates new documents from the results.
How is this different from ChatGPT or Copilot? +
ChatGPT and Copilot are conversational wrappers. CompleteFlow combines AI agents with deterministic workflows and document processing. It deploys on your infrastructure, uses per-user credentials when accessing your systems, and provides full audit trails on every action.
Can we choose which AI model to use? +
Yes. CompleteFlow supports Anthropic Claude, OpenAI, Azure OpenAI, and open-weight models. You can assign different models per workflow: a fast model for extraction, a powerful model for reasoning. Swap providers without changing any workflow logic.
Where does our data go? +
Nowhere outside your infrastructure. CompleteFlow deploys on your Azure, AWS, or GCP account. LLM calls go through private endpoints. Your data is never used for model training. You control the encryption keys.
How quickly can we get started? +
Six weeks from kickoff to first production workflows. This includes platform deployment, integration with your systems, workflow configuration, and team training.
Do we need AI expertise in-house? +
No. We handle the platform setup and initial workflow configuration. Your team uses the visual builder and conversational agent day-to-day. No ML engineering required.

Book a 30-minute strategy session

We'll identify your highest-impact automation opportunities and outline a path to production agents. No commitment required.

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