The applied AI lab behind
professional services companies
What changes for you
Revenue that grows faster than the team.
Professional services companies sell their people’s time, so revenue grows only as fast as the team. Agents across your departments remove three limits of that model.
- 01 · Growth
The usual way: Every new client needs new people before it adds revenue.
With Ability AI: Agents take the repeat work in every department, so the teams you have carry more clients.
- 02 · Margin
The usual way: Proposals, reporting, recruiting and admin eat hours nobody pays for.
With Ability AI: That work runs on agents, and your people spend their hours on the work clients pay for.
- 03 · Expertise
The usual way: What your people know leaves with them when they move on.
With Ability AI: It is written into one system the company keeps, and every agent works from it.
Shaped to your company
Every department gets its agents. Your leads stay in charge.
Departments, roles and reporting lines in one system. Each department lead manages its agents, approves what matters, and works with them in one shared workspace.
- One agent
- A department
- The company
Client delivery · 2 agents
Delivery leadSales · 1 agent
Sales leadMarketing · 1 agent
Marketing leadPeople · 1 agent
People leadOperations · 1 agent
Operations leadIn production
Already at work inside our clients’ companies.
Agents we built, running in our clients’ own operations.

“…it can be a knowledge base of all our wisdom way beyond our lifetimes, which is pretty phenomenal… Not for short-term gain.”
Prof. Susan GoldsworthyFounding council member · Luminous Leadership
- Under 9 weeksto live on stage
- 2 eventsLondon and Lausanne
Operations6,500 members matched with 95% coverageCustomer supportSupport answers in minutes, not a business day
OperationsCompany knowledge, found in minutes not an hour
MarketingTechnical content at scale, accuracy intact




















Why the value lasts
Compounding intelligence your company owns.
Most AI makes one person faster, and the gain leaves when they do. Ours builds up inside the company, so it is worth more every year.
Running in your operations from week one, every action on the record
Every month of work adds to what the company knows
Change the AI model and keep everything the company has built
An advantage built on your own company's knowledge
In your control
Yours, and on the record.
Every piece of work an agent does leaves a receipt your people can read, check and undo, on infrastructure you own, so client work stays under your control.
- 01 · LoggedEvery action lands in an append-only audit trail.
- 02 · ApprovedDecisions you choose wait for the person in that role.
- 03 · OwnedIt runs inside your perimeter, on any model, and what it builds up is yours to keep or export.
- 04 · ReversibleEvery change is a commit you can roll back.
Renewal offer sent to Northwind
Sales department · outbound agent
- What happened
- Drafted the renewal offer and queued the email to the client.
- Why
- The client asked for 15%. Pricing policy allows 12% on this plan.
- Who signed off
- Sales lead, in the Inbox Approved at 12%
- What the company kept
- Pricing-objection playbook, updated. Read by every agent.
a3f19c · roll back any timeWritten to the append-only audit trail
Inside the lab
We build the technology, and stay ahead of it.

Pictured: the agents we run Ability AI on. Nine people, 45 agents.The operating systemTrinity.Where a company’s agents and workflows run with permissions, state, governance and receipts. Open source, Apache 2.0.Open source on GitHub ↗v1.0.0 · Oct 20 ↗Explore Trinity →Work with us
Three ways to work with us.
All three run on the same AI operating system, so you can move from one to another without starting over.
- Agents designed around your processes
- Trinity operated for you, on infrastructure you own
- Monitored, maintained and improved in production
- Start from GitHub, DigitalOcean or AWS
- Run it on your own infrastructure
- Add Enterprise for governance at scale
- You own the client; we share every license
- Our methodology and blueprint library
- Training and a supervised first install
From the lab
We share what we build.
Webinars for leaders, workshops for builders - knowledge, findings, and work, live and on the record.
AI adoption for business leaders — strategy, governance, and what it takes to put agents into production across an enterprise. Built for executives and partners.
Upcoming
Latest recordings
What does Ability AI actually do?
We are the applied AI lab behind professional services companies. We build Trinity, our operating system, and Cornelius, its cognitive architecture, and release both as open source, so the intelligence your company builds compounds and stays yours.
You can run the foundation yourself, have us build and run your agents on it, or deliver it to your own clients as a partner.
How does this help a professional services company grow?
Agents take the repeat work in every department, from proposals to reporting, so your teams carry more client work with the same people, and what the agents build up stays with the company.
What are Trinity and Cornelius?
Trinity is the open-source operating system for your company's AI: your agents and workflows run on it with permissions, state, and receipts - governed, audited, scheduled, multi-user, and recoverable, inside your own perimeter.
Cornelius is the cognitive architecture: it turns operational experience into knowledge the company keeps and builds on - adaptive improvement inside strict governance.
Is it really open source? What's the catch?
The whole platform is Apache 2.0 - self-host it, inspect it, extend it, free forever. There is no gated core.
Enterprise is the same foundation plus the governance an organization needs: org management, single sign-on (OIDC and SAML) with 2FA and SCIM provisioning, advanced RBAC, compliance tooling (an audit dashboard and SIEM export), managed data retention, and offline license management.
Do we own the platform, or are we renting it?
Yes. It's your instance, and your agents live in your GitHub.
Run it yourself, or let us run it and take it back whenever you want.
Can we run it ourselves, or does Ability AI run it?
Both. Self-host the open-source platform inside your own infrastructure, or have us build your agents, run them in production, and maintain them as your business changes.
Because you own the platform either way, switching from managed to in-house is a decision, not a migration.
Can we deliver this to our own clients?
Yes - that is the partner program. Agencies and integrators deliver Trinity-based agents to their clients: you own the client and the services, your client owns the install, and we pay you a share of every license you bring.
Behind every install you get the platform, our methodology and blueprint library, training with a supervised first install, and last-line support.
How is this different from agents that are built once?
Conventional agents are built once and decay. Our systems turn operational experience into knowledge the company keeps.
Cornelius compounds knowledge and ships its own improvements, with receipts - under your control, behind human gates, never on its own.
Won't Claude or OpenAI just do this?
Most of the value is in how the agents are set up and run, not in the model. And your agents should belong to you, not to an AI vendor.
Why not n8n or Zapier?
Those run workflows. Trinity runs agents that hold what your company knows. If you need a fixed workflow, an agent can run one.
What happens if an agent makes a mistake?
Every agent follows business rules you approve before deployment, with deterministic guardrails that keep it on your playbook.
All actions are logged with full chain-of-thought transparency - you can see exactly why a decision was made, and review, override, or adjust any action.
How fast do we see value?
Weeks, not quarters. We start with one focused process, put the agent that runs it into production, and grow from there.
Across our production deployments we have documented 70-95% time savings on the work we automate - and outcomes like an EV charging client's first response time dropping from a business day to seven minutes.
Articles
Latest from the lab.
AI engineer role: from building features to agent factories
AI interpretability: ending the black box for safer agents
Insurance claims AI data: why your foundation is broken
Corporate knowledge base: solving context rot with AI
AI agent swarms: a new governance reality
Declarative AI agents: from prompting to contracts



