AI Deployment Program
Deployed with you. Not handed over.
Our engineers work forward-deployed inside your team. They set up your agent workforce on the enterprise AI you already run, train your people, and stay until the work carries itself.
We deploy on the enterprise AI you already use
Claude Cowork
Copilot Cowork
ChatGPT Work
Vibe Work
In-house Agentic AI
How agents arrive
Expert agents are the product. The program is how they arrive.
With your team
Our engineers work inside your team, on your systems, with your people, from the first decision to daily work.
One program
Every deployment runs through it, managed and private alike. A defined engagement, scoped to your organization, with a clear end.
Two destinations
The program ends with your organization in charge. Managed Agents we keep current for you. Private Agents your team runs itself.
Built to full potential
Agents arrive knowing transfer pricing. Full potential comes from the system built around your organization. The program covers that work, our engineers and your team side by side.
Platform, cloud, and region decided with your IT, and the environment built together
- On the enterprise AI your organization already runs
- Your own cloud where policy asks for it. AWS, Azure, or Google Cloud
- Inference residency in your region
Eight layers are open to shape, each one written with the people who own the work
- Playbooks and templates written from your real deliverables
- Guardrails and sign-off lines drawn where your review sits
- Everything you author stays inside your deployment
Teams, roles, and review seats arranged around how your people work
- Agent teams matched to your workload, started one at a time
- Review seats where professional judgment belongs
- Agents draft, your people sign
On the private path the program goes deeper, and we modify the harness itself with your team
- The harness’s building blocks rebuilt around how your organization works
- Proprietary skills and new capabilities built with your specialists
- Every change documented, so the system works without us
Ready to carry real work.
Beyond the build, the program makes your organization ready to run agents. The data they stand on, the rules they follow, the review they answer to, and the scale they reach.
Data readiness
Agents are only as reliable as the data underneath them. We map your sources, from your ERP data to prior documentation, name the gaps and their owners, and design the data model the work runs on. When volumes grow, TP Warehouse becomes the single source of truth.
Learn more→Governance and sign-off
Configured with your team before agents touch real data. What agents may do is set in policy you approve, enforced in code. Every action lands in the audit trail, traceable to who did it, agent or person.
Learn more→Security and review
Deployment runs inside your security perimeter, hardened with your security team from encryption to sign-in. And we sit with your security and data protection people until every question from your internal review is answered.
Learn more→Operating at scale
One flow proves the setup. Rollout then runs wave by wave, across entities and countries, or across client engagements, each kept apart. Standing workflows, from margin monitoring to year-end true-ups, run on schedule, and exceptions route to your team.
How the program runs
Six phases from first conversation to the day we step back. Each one lands inside your organization, with your team in the room and your calendar setting the pace.
01
Assess
Your team, your workload, your ambitions, and your data, mapped together. An honest picture of where agent work can start, and what needs a fix first. If you are not ready, the assessment says so.
02
Architect
Platform, cloud, and region decided early and once, with your IT in the room. Managed or private, settled before anything is built.
03
Ready the data
Sources connected through the feeds you approve, gaps closed with their owners, the data model designed with your finance and IT people. TP Warehouse set up when the volumes ask for it.
04
Shape the agents
Playbooks written with the people who own the work, guardrails drawn onto your existing review structure, agent teams arranged around your organization.
05
Go live
Agents take over the first workflows, a documentation cycle or a benchmark refresh, under your review gates. Your reviewers judge real output at your own quality bar, and what they correct is what the agents learn.
06
Scale and step back
Rollout wave by wave, across entities and countries or across engagements. The program closes with a documented setup and a team that runs it.
Format
Our engineers work inside your team, on site and remotely. They carry the build. Your people stay on decisions and review.
Where
On the enterprise AI you already use and, where needed, in your own cloud.
Engagement
A defined engagement with a clear end, scoped with you before it is priced.
Afterwards
- Managed Agents, kept current by us
- Private Agents, run by your team
- Academy for your people
Built to end
The program is a defined engagement, not a standing consulting arrangement. It ends on a date you can see coming, and your organization chooses what follows.
- Managed Agents: We keep the system current. New model generations, regulatory changes, and improvements arrive without a project on your side
- Private Agents: Your team runs and extends the system itself, on documentation written for that purpose
- Your people: Academy carries the learning forward, from live workshops to structured accelerators
- Yours to keep: What you teach the agents stays yours. Playbooks, knowledge, and data live inside your deployment
Contact
Scope your deployment
Request a demo and see how we deploy agents into your environment, securely and privately.
- See how the deployment program fits the setup you already run
- Learn how Supernomial moves agents from a first pilot into production
- Determine the right transformation journey for your organization
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