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Agents that do the work inside your tools, with a person in charge.

AI agents that read, decide and act across your ERP, CRM, email and documents, with approval steps for anything consequential and a full record of what they did.

What it does for a business

Multi-step workflows

Quotation, order, invoice and follow-up handled end to end.

Cross-system actions

Read from one system, write to another, with checks in between.

Approval gates

Risky actions wait for a named person to approve.

Audit trail

Every step, tool call and decision recorded.

Who it's for

  • Operations teams drowning in repeat multi-step work
  • Finance and sales teams re-keying data between systems
  • Businesses that want automation without losing control

How we keep it safe

Private and local first for critical and sensitive data. Partnered cloud models only when a task needs them, behind a policy gate, with audit logs and monitoring you can see.

Technology stack

What we use for enterprise agents, and what each piece is for.

Offer

MVP in one week

A working AI product in your users' hands in seven days, built on our proven components.

Offer

Free MVP for startups

No-obligation free MVP for startups. Scope agreed in the free consultation; you keep it either way.

Offer

Free fix-up for AI-built apps

Built your app with AI coding tools but it isn't secure or won't scale? We review it free and fix the critical security and scaling issues free.

Agent frameworks
Mo

Model Context Protocol (MCP)

Standard, permissioned tools for Claude, ChatGPT and our agents

La

LangGraph / custom orchestration

Planner-executor flows with state

Fu

Function calling

Typed tools per system action

Systems
ER

ERP

Odoo, SAP Business One and others

CR

CRM and helpdesk

Salesforce, HubSpot, Zoho, Freshdesk

Wo

Workspace

Email, calendar, documents and chat

Control
Ri

Risk tiers

Read-only to irreversible, with approvals above a threshold

Bu

Budgets and timeouts

Every run capped in cost and time

Hu

Human-in-the-loop

Named approvers per action type

Observability
Tr

Traces

Every step and tool call recorded

Su

Success metrics

Completion rate, cost per run, exceptions

Au

Audit log

Tamper-proof record for compliance

How we deliver it

Typical phases and timelines; your plan is agreed after the free consultation.

  1. 1

    Workflow map

    Steps, systems, decisions and exceptions

    1 week
  2. 2

    Tools and tiers

    Typed tools built and risk-classified

    2–3 weeks
  3. 3

    Supervised pilot

    Agent runs with approvals on every action

    2–4 weeks
  4. 4

    Autonomy by tier

    Low-risk steps automated, high-risk stay approved

    Ongoing

Real examples

From products we built and run, and engagements we measured.

Real example

Agnidoot, Odoo ERP

418 agent skills across 18 business functions, 17 tools in 4 risk tiers, and an MCP server giving Claude or ChatGPT governed access to Odoo.

See Agnidoot
Real example

LexEdge, legal practices

14 AI agents covering case management, drafting, research and citation checking.

See LexEdge

Under the hood

The technical detail, for your engineers.

Tooling

Model Context Protocol (MCP) servers and typed tools per system, so agents act through defined, permissioned operations.

Risk tiers

Every tool classified from read-only to irreversible; higher tiers require human approval.

Orchestration

Planner-executor patterns with retries, timeouts and budgets per run.

Observability

Traces of every step, cost per run and success rate, visible to your team.

Questions we're asked

Can an agent do something irreversible?

Not without approval. Irreversible actions always need a named person.

Will it work with our ERP?

If the ERP has an API or database access, yes; Odoo is our deepest integration.

How do we see what it did?

Every run has a trace and an audit record you can open.

Can ChatGPT or Claude use our systems?

Yes, through an MCP server with the same permissions and tiers.

What's the difference between an agent and an automation?

Automations follow fixed steps; agents decide the next step from the situation, within rules and approvals you set.

How do we start safely?

Supervised mode: every action waits for approval until the agent has proven itself.

What if an agent makes a mistake?

Low-risk actions are reversible and logged; high-risk ones never run without a person approving.

How much do agents cost to run?

Each run has a budget; we report cost per run and per outcome.

Is our data used to train AI models?

No. We use private models or enterprise agreements that forbid training on your data.

How do we get started?

Book the free two-hour consultation. We look at one real workflow and tell you whether this technology fits.

Is there a guarantee?

Yes. Engagements we take on carry our 10× productivity guarantee on the agreed workflow, or the fee comes back.

Products built with enterprise agents

Other technology

Where would enterprise agents help your business?

Two free hours on a real workflow. We'll tell you whether it fits, and what it would take.

Book the free consultation