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. Deploy on our managed cloud, your private cloud, or on-premises. Full audit trails on every action.

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 and financial services.

Put AI to work across your organization.

Q: How is this different from ChatGPT or Copilot?

SaaS AI tools send your data to third-party servers with limited control. CompleteFlow offers managed cloud, private cloud, or on-premises deployment. You choose the AI model, control the data, and own 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.

An AI agent for every team member. Understands your documents, builds reliable workflows, and connects to 10,000+ systems. Choose your model. Single-tenant private cloud.

Book a Strategy Session See the Platform

Built by the team behind AI projects for

The Platform

See CompleteFlow in action

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.

Connect your DMS Import from SharePoint, NetDocuments, iManage, or Google Drive

Ask any question about your documents e.g. generate a chronology, find contradictions, summarize key terms

Track everything Full history with team sharing and audit trail

Extract and review Structured contract analysis with automatic risk flagging

Build workflows Automate daily tasks with human review gates

SharePoint

NetDocuments

iManage

Google Drive

SharePoint / Thornfield Capital /

Contracts67 files

Share Purchase Agreement.pdf2.4 MB

Disclosure Letter.docx840 KB

Due Diligence47 files

Financial Model.xlsx1.8 MB

Board Resolution.pdf320 KB

Correspondence (312 threads)48 MB

IP License Schedule.pdf156 KB

Import all to workgroup

847 documents imported and analyzed

Generate a chronology for the Thornfield Capital bundle

Scanning 25,847 documents

I've built a chronology from 847 documents. 142 key events identified across contracts, correspondence, and board minutes.

Thornfield Capital Acquisition 142 events

18 Jun 24Completion meeting heldCompletion Minutes

3 Jun 24Revised offer (£45.2M post-DD adjustment)Revised Offer

15 May 24Disclosure letter received contradictionDisclosure Letter

28 Apr 24SPA first draft circulatedSPA v1.0

2 Apr 24Board resolution approving sale processBoard Minutes

18 Mar 24Due diligence commencedDD Checklist

3 Mar 24Exclusivity agreement signedExclusivity Letter

14 Feb 24Indicative offer submitted (£48M)Offer Letter

28 Jan 24NDA executed between partiesNDA Agreement

12 Jan 24Initial approach from Thornfield CapitalCorrespondence

What are the contradictions in the disclosure letter?

The disclosure letter (15 May) states that no material litigation is pending against the target. However, email correspondence from 22 April between external counsel references an ongoing employment tribunal claim (est. liability £340k). Additionally, the disclosed IP schedule omits two registered patents found in the IP License with Meridian.

Sources: Disclosure Letter s.4.2, Email 22/04/24 (Ref: TC-0847), IP License Schedule 3

History

ChatChronology for Thornfield Capital bundle2 hours ago

TableContract Review (142 docs)3 hours ago

ChronologyThornfield Capital Bundle3 hours ago

WorkflowDaily BriefingYesterday

ChatIndemnity caps across vendor agreementsYesterday

Contract Review: Thornfield Capital 142 documents

Document	Governing Law	Term	Liability Cap	Termination	Status
Facility Agreement (Barclays)	English law	5 years	£2.4M	30 days	Standard
Vendor Agreement (Apex Ltd)	English law	Rolling	Uncapped	90 days	Flagged
IP License (Meridian)	Delaware	3 years	$500k	Auto on CoC	Flagged
Services Agreement (NorthStar)	English law	2 years	£1.2M	60 days	Review
Subcontractor (PrimeBuild)	Scots law	18 months	Missing	30 days	Flagged

142 documents scanned | 8 flagged | 14 review | 120 standard

Nodes

DOCUMENT

Ingest

Parser

Chunk + Embed

RAG Search

Fill Template

Generate Doc

LLM

Agent

Extractor

Summarizer

TRANSFORM

Transform

Function

Filter

CONTROL

Gate

Notification

Map

MICROSOFT 365

Calendar

Mail

OUTPUT

Save Results

Review Table

Get calendar

RAG search

Get mail

LLM summarize

Send Teams

Review gate

Teams Just now

Daily Briefing: Thornfield Capital

3 meetings today

10:00 Board call (completion agenda)

14:00 DD review with external counsel

16:30 SPA negotiation session

2 documents need attention

Disclosure letter (contradiction flagged)

Vendor Agreement (uncapped liability)

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. Flexible deployment to meet your data requirements.

✓ 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. Choose managed cloud, private cloud, or on-premises deployment. Uses per-user credentials when accessing your systems, with full audit trails on every action.

Can we choose which AI model to use? +

Yes. CompleteFlow works with any state-of-the-art model: Anthropic Claude, OpenAI, Google Gemini, 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? +

You choose: our managed cloud, your own cloud tenancy (Azure, AWS, GCP), or on-premises. In all cases, LLM calls go through private endpoints, your data is never used for model training, and 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