Platform overview

The system of record for how work actually gets done.

Captured from real work.

Approved by named owners.

Versioned and audited.

Routed to the optimal execution engine.

Available to people in chat.

Watch it run · 2 min
Quarterly reconciliation
v3 · Approved
SC
Sarah Chen
Finance Ops
Capture
Review
Published
Selected execution engine:
AI agentRPAScript
Executes on
·Claude·ChatGPT·Microsoft Copilot·Gemini·UiPath·Power Automate·Automation Anywhere·Blue Prism·n8n·Zapier·Make·Workato·Google Apps Script·Azure Functions·AWS Lambda
The problem

Almost right is wrong.

Your team tried AI. It gets things almost right. In teams like finance and operations, that still gets redone by hand.

The gap is not the model. It is context: the exceptions, the rules, the calls that live only in people's heads. Diligent4 captures it.

One approved version of every procedure, with an owner and a history, ready for any AI or automation to run.

How it works

Capture

Share your screen and talk through the task. Recordings, documents, and agent feedback all feed the same engine.

Standardize

Five people do a task five ways. Review, approve, and publish the one official version, with a named owner and a full history.

A recording is a draft. The procedure is what you approved.

Execute

Any agent, bot, or script runs the approved version, served over MCP. Change it once and every execution updates.

Governance

Governance is the product

The layer between a demo and a deployment. What a procedure goes through before an agent is allowed to run it.

Draft → review → publish

Nothing becomes official until a named owner approves it.

Versioned, with provenance

Every procedure has a history. Every change is a reviewed diff.

Access-controlled end to end

Org-scoped RBAC synced to your identity provider. Retrieval respects permissions too.

Audited

Who approved what, when, and exactly which version the agent executed.

Delivered to any agent

Served over MCP. Claude, OpenAI, Copilot, or your RPA stack are interchangeable parts, not lock-in.

For every employee

Ask in chat. Get the approved answer.

Procedures are not only for agents and automation teams. Employees get the right information at the right time: the conditionals, the thresholds, the how-tos.

Answers come from the current approved version, not folklore.
Conditionals resolved on the spot: if this, then that.
Scoped to your permissions, like everything else.
An invoice doesn't match the PO. What do I do?
  • Variance under 2%: approve and log it.
  • Over 2%: route to procurement review.
  • No PO number: return to the vendor with template R2.
Procure-to-pay exceptionsv4 · Approved
Secure & proven

Built for regulated environments

In production at regulated financial institutions. Every deployment passed CISO review. Full overview under NDA.

7h → 4min

A 7-hour reconciliation at one of Israel's largest investment houses now runs in 4 minutes. Zero errors, following the approved procedure.

ISO 27001 certified. Pen tested.
All customer data stays single region.
No install on employee machines.
Encrypted in transit and at rest.
Org-scoped RBAC. MFA supported.
No direct internet exposure. Cloud Armor edge protection.
Your data never trains AI models.
Bring your own cloud bucket or API key. Zero-retention option.
Efficiency metrics showing fewer prompts to completion with Diligent4

Faster execution

Most runs finish in one shot, even complex ones.

Error distribution showing reduced and eliminated severe errors with Diligent4

Built-in safety

Fewer errors overall, and no severe errors in our tests.

The demos

See it run

Real workflows, recorded in the product. Pick a demo and share the link.

Record once, AI runs the task

Narrate a task. Explain your logic. Minutes later an agent runs it your way.

Why it compounds

The workflow becomes an asset

Not a recording. Not a prompt buried in someone's chat.

Quality

Approved playbooks replace ad-hoc prompts. One golden standard, not 20 versions across employees and interns.

Lower cost

Agents need less context and fewer retries. Deterministic steps run as cheap scripts, not expensive LLM calls.

Right automation

The system recommends how to run each task: AI agent, RPA, or script. Not everything is AI-ready or RPA-suitable.

Compounding

Recordings, documents, and agent runs enrich one corpus. Every capture makes the next workflow closer to done.

Who it's for

Value for every team

One recording pays off in four directions.

Automation & RPA teams

A ready-to-build project for each workflow, plus a ranked backlog. Diligent4 flags what is AI-ready, RPA-suitable, or best kept manual.

End users & employees

Capture your work once and hand the busywork to an agent. Faster onboarding, cleaner handoffs.

Leadership & the C-suite

One source of truth for how work happens. Govern the rollout and enforce one standard.

Finance & operations

Where almost right is unacceptable. AI runs close, reconciliations, and approvals to your standard.

Use cases

Workflows we see every week

Finance and ops are the sharpest fit. Any high-stakes, repetitive process works.

Month-end close

Today

Manual allocation across systems. Days of work.

With Diligent4

AI follows your allocation logic. Days become hours.

Reconciliation

Today

Manual matching. Exceptions handled ad hoc.

With Diligent4

AI matches by your rules and flags only true exceptions.

Procure-to-pay

Today

Manual validation of quotes against contracts.

With Diligent4

AI checks your contract terms and approval thresholds.

See it on your own workflow

Bring one painful process. In 30 minutes we capture it and your AI runs it.