AI that does real work inside your business.

An AI Pod is a small team of our experts working with AI agents, embedded in your business to take on real work.

Trusted by teams we've served over 20 years

AI Pods

One pod model, configured for the job.

A small expert team supervising AI agents, configured for each client.

Operations

Agentic Operations

Run a live business process from start to finish, with AI agents doing the work and a person signing off.

Product

Agentic Product

Build AI-native products & copilots — new, or embedded into the apps you already run.

Engineering

AI Engineering Enablement

Adopt AI coding tools, techniques, and workflows across your engineering teams — with standards and guardrails.

Modernization

AI Modernization

Move older systems onto modern platforms and get them ready for AI to work with.

Assistant

Always-on AI Assistant

An always-on AI agent, built on the open-source Hermes Agent, that handles recurring work and messages for you.

Four sizes, named by what each one takes on.

Pilot Pod

One written problem, to start with and grow from.

  • A small operations process
  • An always-on assistant
  • AI coding adoption for one team

System Pod

One production system, with a dedicated owner.

  • An AI-native product or copilot
  • A prototype taken to production

Platform Pod

Several connected systems, in parallel.

  • A core system being modernized
  • The systems around it

Program Pod

A portfolio of AI work, under one outcome owner.

  • AI work across a division
  • AI work across a business line

Proof

Pods at work.

Insurance

New insurance products in days, not months.

~8 days

to launch a new product line, depending on the line.

Software

An agentic software factory took a vibe-coded prototype to production.

1,100+

pieces of agentic software engineering work: code, tests, deployment, specs and documentation.

Operations

An AI chief of staff running an agentic workforce.

Up to date, on task

Its agents track what's open across email, calendars and to-dos, handle what they can and remind people of the rest.

More

...and more examples and use cases.

See more by industry →

Results on our platform

Average ROI
789%
Annual savings
$500K+
Recovered per week
700 hrs
Saved per project
1,100 hrs

Demos are easy. Production is the job.

AI can produce a working demo in an afternoon. Trusting it with customers, money and compliance takes engineering.

With a Veracity pod

The plan

Prompting alone: Instructions scattered across chat threads

A Veracity pod: Written specs for the work.

Changes

Prompting alone: Each new prompt can quietly break what already worked

A Veracity pod: Experts supervise and review changes.

Governance

Prompting alone: Security and compliance looked at late, if at all

A Veracity pod: Human checkpoints and an audit trail built into the work

Accountability

Prompting alone: When it fails, no one is answerable

A Veracity pod: A Forward Deployed Engineer accountable for the result

What you keep

Prompting alone: A demo that breaks under real users and real data

A Veracity pod: Production software you own, in your own tools

The AI bill is the cost you can see. Rework is the one you can't: people checking, fixing and rebuilding what came back wrong.

How it works

Experts and AI agents, working as one team.

  1. Pick the outcome

    One job with a clear, measurable benefit.

  2. Agents do the work

    Inside the tools you already use.

  3. Experts stay in charge

    People sign off on the decisions that matter.

  4. Prove it, then build on it

    Establish successful outcome and scale.

  5. Governed as it grows

    An audit trail on every agent action.

See how it works →

Start here

Start with a conversation.

Tell us the outcome you want, and we'll tell you honestly whether a pod is the right fit.

Advisors, consultants and business developers: we have a referral program for partners. Partner with us