What is CompleteFlow?

CompleteFlow combines AI agents with workflow automation in a single platform. Agents handle work that needs judgement. Workflows handle work that needs precision. Everything runs on your infrastructure with full audit trails.

Who is CompleteFlow for?

Teams that process documents, run complex workflows, and need AI they can trust. Used by legal teams, financial services, and enterprises that need private deployment.

How do I get started?

Book a call and we will scope a pilot engagement tailored to your workflows and compliance requirements.

For legal, financial services, and regulated industries

Put AI to work across your organisation.

Q: How is this different from ChatGPT or Copilot?

SaaS AI tools send your data to third-party servers. CompleteFlow deploys on your infrastructure: your cloud tenancy or on-premises. You control the data, the encryption keys, and the audit trail.

Q: How quickly can we get started?

Our pilot engagement runs six weeks from kickoff to first production agent.

Q: Do we need AI expertise in-house?

No. CompleteFlow is designed for teams without ML engineers. We set up the platform and train your team to build and manage agents independently.

CompleteFlow gives every team member an AI agent that understands your documents, creates new ones, runs workflows, and connects to 10,000+ systems. Full audit trails. Your infrastructure.

Book a Strategy Session See the Platform

Built by the team behind AI projects for

The Platform

See CompleteFlow in action

One platform for documents, workflows, and AI agents. Connect to your existing systems and scale across your organisation.

Understand and create documents

Ingest contracts, reports, emails, and more. Extract structured data, cross-reference between sources, and generate new documents from the results.

Orchestrate workflows

Visual editor or expressions. Human review gates that pause and wait. Deterministic execution with full audit trails on every step.

AI agents for every team member

Each person gets an agent that reasons across their documents and invokes tools or workflows when precision matters. Per-user permissions.

Chat

Summarise the Q1 board pack and flag anything that needs attention before Thursday

I'll review the board pack documents, cross-reference the financials against last quarter, and flag items that need action. Let me pull everything together.

Running: Board Pack Review

Workflow: Board Pack Review

Retrieve board pack documents

SharePoint: 8 files, 142 pages total

0.9s

Extract financials and KPIs

Revenue, margin, headcount, pipeline figures

2.8s

Compare against Q4 actuals

Q4 board pack: 6 variances detected

1.4s

Check action items from last meeting

3 of 7 actions still open

0.6s

Generate summary and flags

8 documents + 6 variances + 3 open actions

3.1s

Q1 Board Pack Summary Complete

Revenue variance needs explanation

Q1 revenue is 12% below forecast but the CEO report describes performance as "on track." The finance section shows the shortfall is concentrated in Enterprise (down 23%) while SMB grew 8%. Recommend clarifying before the board meeting.

KEY METRICS VS Q4

Revenue-12%

Gross margin+2.1pp

Headcount+3

Pipeline+34%

OPEN ACTIONS FROM LAST MEETING

CISO to complete SOC 2 audit scopeDue: 15 Mar

VP Sales to present revised territory planDue: 1 Mar

CFO to model scenario for Series B bridgeDue: Thu

Full Summary 4 pages Financials 6 variances Sources 8 docs

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.

Connects to everything your team already uses

Agents access your systems through the Model Context Protocol (MCP), the open standard for AI tool integration. No custom API work required.

MCP

The open standard backed by Anthropic. One protocol, thousands of integrations.

Microsoft 365

Teams, Copilot, SharePoint, OneDrive, Outlook. Agents inherit your existing permissions.

Any LLM

Claude, GPT, Azure OpenAI, or open-weight models in your own tenancy. Swap without code changes.

Works with

SharePointTeamsOutlookOneDriveCopilotNetDocumentsiManageSalesforceBloombergFactSetDatasiteIntralinksServiceNowElite 3EDiligent

10,000+ via MCP See all integrations →

Industries

Built for regulated industries

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.

Healthcare

“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.

Book a Call