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Own it.

The governed runtime for AI agents. Every action carries its provenance: who asked, which model acted, who approved, what happened.

Output is not evidence.

Most AI gives you an answer. It cannot tell you how the answer was reached, which model produced it, or who authorised it. Renly records every step.

Output versus evidence Top flow: prompt to opaque model to output, with no record. Bottom flow: prompt to governed action to output, with an audit record captured. Most AI Prompt Model opaque Output no record Renly Prompt Governed action policy + approval Output Audit record
Read: what accountable AI actually means →

One action. Full provenance.

Watch a single piece of real work travel through the runtime. Every step lands in the same record.

Request · Sarah, Finance

Chase the invoices that are more than 60 days overdue.

Proposal · Finance agent

Found 12 overdue invoices in Xero. Drafted a reminder email for each customer, ready for review.

Approval gate · Human

Sarah reviews the drafts, edits one, approves the batch. Nothing sends without her.

Action · Outlook

12 reminders sent. The target system's response comes back into the same thread.

Provenance record
  • requester: sarah@company.com
  • agent: finance-agent · model: named in record
  • inputs: 12 invoices, Xero aged receivables
  • approval: sarah, 1 edit, batch approved
  • outcome: 12 sent, confirmed by Outlook
The problem

Your AI is already working. You cannot prove what it did.

AI is in use across finance, sales, ops, and engineering, often before anyone signed off. Approvals are informal, audit trails are siloed, and model choices are inconsistent. When the question comes, what did our AI do, on whose authority, you do not have the answer.

Unattributable actions

AI takes actions with no record of which user, which agent, or which model was behind them.

No human in the loop

Writes reach real systems with no approval step. By the time anyone notices, it is done.

No answer for the auditor

When a regulator, an auditor, or the board asks what your AI did last week, every team has a different answer. Or none.

It runs real work

This is not oversight software. It does the work.

Renly connects to the systems your teams already use and takes real action across them. Every action runs through the same approval gates and the same audit trail, whichever team it serves.

Finance

Reconciliation, variance analysis, forecast support. Connected to Xero and Dynamics 365.

Sales

Pipeline intelligence, account research, email drafting. Connected to Salesforce and LinkedIn.

Operations

Process automation, SOP drafting, and workflow orchestration.

Marketing & content

Campaign briefs, creative generation up to 4K, LinkedIn post drafting, video creation.

Engineering

A governed coding agent that reads, edits, and runs code on your own machine through Renly Desktop, handles git, and works your Azure DevOps repositories and pull requests. Every write and command gated by the autonomy you set, and recorded. Plus sprint intelligence and dependency tracking across Azure DevOps, GitHub, and Jira.

HR & people

Policy Q&A, onboarding assistants, employee self-service. Connected to Outlook and Teams.

Customer support

Ticket summarisation, knowledge search, draft response generation. Grounded in your data.

Compliance & security

Audit trail review, policy enforcement, approval chains for every AI action.

Industries

101 pre-built agents across 22 industries

Agent libraries with the vocabulary, compliance requirements, and workflow patterns of your sector, working from day one.

Technology Finance & Banking Accounting & Tax Insurance Healthcare Pharma & Life Sciences Legal Government Nonprofit Manufacturing Energy & Utilities Logistics & Supply Chain Construction Consulting Recruitment & Staffing Marketing & Advertising Media & Entertainment Real Estate Education Retail & E-Commerce Hospitality Personal & Lifestyle
Why Renly

You already have Copilot, ChatGPT, or Claude. Why Renly?

Those are excellent for one person at a keyboard. Renly does that same work for a whole company: it writes and runs code on your machine, drafts the finance, sales, and operations work, and acts across your real systems, with a named human approving every write and a tamper-evident record of every action. One governed runtime your developers trust for code and your business teams trust for everything else.

Acts across your whole stack

31 production connectors and 307 tool actions: Microsoft 365, Xero, QuickBooks, Salesforce, Dynamics 365, Jira, Azure DevOps, Google Workspace, Slack and more. Assistants tied to one vendor see one slice of your business.

Provenance on every action

Who asked, which model acted, who approved, what happened. Every response carries an Evidence Passport sealed into a tamper-evident SHA-256 hash chain, exportable as an official document, not a chat history.

Approval before writes

Consumer assistants act on a personal account. Renly drafts the invoice, the email, the work items, then waits for a named human to approve before anything touches your systems of record.

Your models, your choice

7 model providers out of the box, 400+ models via OpenRouter, and bring-your-own-model on Enterprise. Nobody else decides which AI runs your business.

See the detailed, factual comparisons: Renly vs Microsoft 365 Copilot · Renly vs ChatGPT · Renly vs Claude Cowork

Your Microsoft world

Signs in with Entra ID. Acts in your tenant, under your grants.

Your team signs in with Microsoft Entra ID. Agents work on your Outlook, Teams, SharePoint, OneDrive, OneNote, and Dynamics 365 through OAuth permissions your admins approve, inside your own Microsoft 365 tenant. Data is isolated per organisation, encrypted with AES-256-GCM, and never used to train models. And when your business runs on more than Microsoft, the same governed runtime reaches Xero, Salesforce, Google Workspace, Jira, and the rest.

Read the security overview →

Accountable by design

Run the work and prove it. In one layer.

Governance tools watch AI they do not run. Agent platforms run AI they do not truly govern. Renly does both: the agents do the work, and every action leaves an evidence trail.

Attributable

Every AI action ties to a specific user, agent, and model. No anonymous actions.

Approval gates

Writes to your systems of record wait for a human. The agent drafts, you approve, then it acts.

Fail-closed

When governance is unavailable, requests are blocked, not bypassed. On the Enterprise plan.

Your data, your models

Data isolated per organisation, encrypted, and never used to train models. Bring your own model on Enterprise.

Attribution, approval gates, audit trails, encryption, and SSO are on every plan. Fail-closed enforcement, semantic evaluation, and bring-your-own-model are on Enterprise.

How it works

Three steps from evaluation to rollout

1

Connect your business systems

Any mix of the 10 supported connectors. Your data stays in your tenant.

2

Deploy agents to each team

Pick from pre-built agent templates or build custom ones for your team. Set role-scoped access.

3

Prove every action

Approvals, correlated audit trail, policy, kill switch. One record across every agent and every model.

Run your AI. Prove it. Own it.

See how Renly makes every AI action accountable. Book a demo, or start free with a work email.