New insurance products in days, not months.
~8 days
to launch a new product line. It varies by line.
Agents read the ISO forms and build each line into the policy system. Our experts sign off.
For mid-market leaders and enterprise divisions
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, using the tools you already have.
Trusted by teams we've served over 20 years
- Years of software delivery
- 20+
- Clients served
- 300+
- Senior teams
- US-led
Why now
You have AI tools. The work still gets done the old way.
Tools help people type faster
Copilot and ChatGPT speed up tasks. The process around them stays the same.
Most AI projects stall
Experiments rarely reach daily operations, because nobody trusts unchecked AI with work that matters.
Pods change the work itself
AI agents take on the job, and experts check every result.
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 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.
A vibe-coded prototype, made production-ready.
1,100+
work units, each built to a locked spec and verified.
Agents build in parallel. Automated checks and an engineer review every change.
AI models on the client's own hardware.
No cloud lock-in
and no dependence on a single vendor.
A pod set up the hosting and the operations, and the client's team runs it day to day.
A chief of staff that does the admin.
Done, not listed
Tasks get taken on, and open ones get nudged.
Agents handle email, calendars and to-dos. A person approves every outbound message.
A paper archive, now searchable.
Paper to search
Handwritten and legal documents, preserved.
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
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
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.
Pods and sizes
One pod model, configured for the job.
Every pod has the same shape: a small team plus AI agents. What changes is who is on it and what it works on. Here are some of the ways we configure pods, each set up differently for its client.
Agentic Operations
Run a live business process from start to finish, with AI agents doing the work and a person signing off.
See the caseAgentic Product
Build AI-native products & copilots — new, or embedded into the apps you already run.
AI Engineering Enablement
Adopt AI coding tools, techniques, and workflows across your engineering teams — with standards and guardrails.
Vibe-to-Enterprise
Turn AI-built prototypes into tested, reliable production products.
See the caseAI Modernization
Move older systems onto modern platforms and get them ready for AI to work with.
Always-on AI Assistant
An always-on AI agent, built on the open-source Hermes Agent, that handles recurring work and messages for you. We deploy it, run it, build it out, and maintain it.
Pod sizes
Named by what each one takes on.
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.
One written problem, to start with and grow from.
A small operations process, an always-on assistant, or AI coding adoption for one team.
One production system, with a dedicated owner.
An AI-native product or copilot, or a prototype taken to production.
Several connected systems, in parallel.
Modernizing a core system along with the systems around it.
A portfolio of AI work, under one outcome owner.
AI work across a division or business line, run as one program.
Every pod is a flat monthly retainer, stated in the proposal. AI usage sits outside the fee and is billed separately, at cost.
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 with a conversation.
Tell us your company and the outcome you care about. For a qualified inquiry we prepare a one-page outside-in view of your industry and where a pod could pay off, then tell you plainly whether a pod fits and what it would take on first.
Advisors, consultants and business developers: we have a referral program for partners. Partner with us