What a pod is

AI Pods: experts and AI agents, working as one team.

What it does

The team works with a fleet of AI agents inside your business. The agents do the work, and our people direct it and check it.

Who is on it

Led by a Forward Deployed Engineer, with engineers added as the work grows, plus agents. The Forward Deployed Engineer is an AI-proficient senior person who owns the outcome, builds and knows your industry.

How you engage

A flat monthly retainer with a 3-month minimum; AI usage is billed separately, at cost. Your team stays as involved as it wants to be. You start with one job and grow from there.

Your tools

We use the tools you already have, or recommend ones that fit. You are never locked in to one vendor.

Small on purpose

A good engineer working with AI can do the work of five to ten people. So a pod stays small, and you are not paying for a crowd.

Inside your team

Not a project thrown over the wall: a small team working inside yours day to day, learning your business. Assign someone of yours to work with the pod, and the skill grows in-house.

Boutique, not big consultancy

Senior people you can get on the phone. A pod costs far less than a big-consultancy engagement, with no large team billed by the hour.

Agents do the workExperts check itYou own the output3-month minimumNo vendor lock-in

Who owns the outcome

A Forward Deployed Engineer on every pod.

Every pod covers the same three jobs: building with agents, reviewing what they produce, and owning the business outcome. Every pod has a Forward Deployed Engineer: an AI-proficient senior person who works inside your business, also builds, and owns the outcome, accountable for every output and result, whether or not it was formally defined as an output. Every pod is led by a Forward Deployed Engineer, with engineers added as the work grows, plus agents.

How it works

Decide with evidence. No big-bang commitment.

Outside-in view

We come prepared

We start with your industry, not a blank page: where peers are moving, who is leading and who is lagging, and two or three places a pod could pay off in your business. Then we agree one outcome, the one with the clearest measurable benefit: a process where work is piling up, or a prototype that needs to reach production.

Pilot

Prove it

A small pod embeds with your team on that one job. We measure speed, quality and cost against how it's done today. It can be experimental too: if you think you know where to go, the pod helps you vet it and get there.

Scale

Expand on results

Keep what works, trim what doesn't, and extend the pod to other parts of the business on the evidence. No big up-front commitment.

Governed by design

AI you can put in front of your board.

The question executives ask first is whether they can trust it. This is how a pod earns that.

People where it matters

Agents carry the routine work. Your people and ours sign off at the decisions that count, not on every step, so nobody becomes a rubber stamp and nothing ships unchecked.

  • The plan and the design, before agents start building
  • Anything that changes a customer, a record or money
  • Every release, after automated tests and an engineer's review
  • Anything sent outside your business

Agents that build on each other

One governed set of agents connected to the stack you already run (ticketing, wiki, data platform, documents and models), sharing context instead of a scatter of one-off bots. Governance grows as the number of agents does.

Built for your CIO and CISO

Work happens in your environment and your tools. Every agent action leaves an audit trail, access follows your rules, and you own the output and the code.

Delivered on our SOC 2 Type II and HIPAA-compliant platform, with the best model for each task across Anthropic, OpenAI and 150+ more.

SOC 2 Type IIHIPAA compliant150+ models

Who it's for

Mid-market companies

About 50 to 500 people: big enough to have work piling up, small enough that a pod changes how the business runs.

A division of a larger enterprise

One department or business unit with a clear owner, a budget and a process worth changing, without a company-wide program.

Teams already using AI tools

You have Copilot, ChatGPT Enterprise or Claude, and now you want AI doing real work.

Proof

Pods at work.

Insurance

New insurance products in days, not months.

~8 days

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

Agents read the ISO forms and build each line into the policy system. Our experts sign off.

Software

A vibe-coded prototype, made production-ready.

1,100+

tasks, each specified, built and tested.

Agents build in parallel. Automated checks and an engineer review every change.

Infrastructure

AI models running on a data-center company's own hardware.

No cloud lock-in

We set up hosting, monitoring and updates. Their team runs it.

A pod set up the hosting and the operations, and the client's team runs it day to day.

Operations

An AI chief of staff for a business.

Daily action brief

It handles tasks itself, helps people finish theirs and sends reminders.

Agents handle email, calendars and to-dos. A person approves every outbound message.

Legal records

A large handwritten archive, now searchable.

Fully transcribed

Handwritten and legal documents, kept in a private archive site.

AI reads each document, and the collection lives in a private archive site.

Results on our platform

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

Why Veracity

We don't hand you agents. We deliver results you can measure.

Veracity has delivered software for more than 20 years. AI Pods are how we deliver it now.

How a pod differs

Team

Veracity AI PodA senior team led by a Forward Deployed Engineer

Big consultancy
Large, billed by the hour
Staff augmentation
People you manage
AI tool vendor
None: you get software

Who does the work

Veracity AI PodAI agents, directed and checked by experts

Big consultancy
Consultants
Staff augmentation
Contractors
AI tool vendor
Your team, if it can

Governance

Veracity AI PodCheckpoints and audit trail built in

Big consultancy
Reports and steering committees
Staff augmentation
Yours to provide
AI tool vendor
The vendor's defaults

Commitment

Veracity AI PodFlat monthly retainer, 3-month minimum

Big consultancy
Long statements of work
Staff augmentation
Per head, per hour
AI tool vendor
Seats and licenses

Lock-in

Veracity AI PodNone: your tools, your output

Big consultancy
Their methods
Staff augmentation
Their people
AI tool vendor
Their platform

Senior-led

US experts own the outcome and acceptance, not offshore ticket queues.

Proven discipline

A spec-driven, continuously-verified delivery method, not slideware.

Experience where it counts

Two decades in financial services, insurance and healthcare, where mistakes cost the most.

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.