Production AI for firms that answer to regulators
Infinity AI is the AI practice of Infinity Tech Group. We design, build and review AI systems for financial services, insurance and healthcare, with the evaluation, security and handover that regulated work demands.
Four services, each scoped in detail
Choose a service to see what you receive and how it runs. Ask for a sample statement of work.
AI product development
We build AI tools as modules inside your platform, on your cloud, under your review process.
For product and technology leaders who need working AI features in production.
What you receive
- Working AI modules in your staging environment, with contract tests against your interfaces from week one.
- An evaluation set built with your team from real examples, plus an automated check of every answer against its sources, on every pull request.
- Models called only through your own gateway, such as Amazon Bedrock, pinned per tool. Our tools hold no keys, logs or storage of their own.
- A handover kit: seeded repository, deployment template, runbook, data export and teardown steps.
How it runs
About six weeks to staging with a lead engineer and a backup engineer, then go-live and a support period. We confirm the estimate in writing after week one.
Technical advisory for platform programs
A senior advisor on your side of the table while a vendor builds your platform.
For executives and boards overseeing a build they cannot review line by line.
What you receive
- Business needs turned into technical requirements the vendor can be held to.
- Reviews of the vendor's architecture, hosting, AI features and data model, with a written finding for each.
- A security review of access control, backup and recovery, and data handling.
- Acceptance-test plans and a written technical sign-off memo at each phase.
- A weekly written update on goals, tradeoffs and cost.
How it runs
One named senior advisor, 10 to 15 hours a week, on a six-month renewable term. Every decision and every payment stays with you. We never copy or export your data, and we disclose that we hold no interest in your vendor.
AI implementation review
An independent review of an AI system before it launches, or after it starts behaving in ways nobody planned.
For CTOs, model risk teams and audit committees who need a second opinion they can file.
What you receive
- A review of architecture, data flows and model choices against what the system is meant to do.
- Hands-on testing for prompt injection, data leakage, unsafe output and hallucination on your own examples.
- A check of your evaluation, monitoring and human-approval steps, and of cost at expected volume.
- A findings report ranked by severity, a fix plan your team can own, and a re-review of the fixes.
How it runs
Fixed scope, set at two to four weeks, led by our AI Practice Lead. Read-only access, invented test data, and a findings walkthrough with your engineers and your risk owners.
AI enablement for leaders and teams
Hands-on training that leaves your people building with AI on their own work.
For technology executives, engineering managers and the teams that report to them.
What you receive
- Working sessions on Claude Code and current AI development tools, run on your team's real tasks.
- Separate tracks for executives, engineering leaders and engineers, each with its own outcomes.
- Reusable workflows, prompts and guardrails your team keeps after the program.
- Preparation for Anthropic's Claude certification exams for engineers who want them.
How it runs
One-to-one or small cohorts, weekly sessions over four to six weeks, with practice between sessions. In person in the New York area or remote.
In development
Services we are building next. Ask us if one of them matters to you now.
- AI governance and model risk In development
- Model inventory, risk tiering and validation evidence that fit your model risk policy.
- AI security testing In development
- Red-team testing of LLM applications and agents, with retests after each fix.
- Claude rollout for the enterprise In development
- Claude for Enterprise, Amazon Bedrock or Google Vertex: single sign-on, data controls, usage policy, pilot group.
- Agent and workflow automation In development
- Agents for multi-step back-office work, with a person approving each consequential step.
- Knowledge assistants In development
- Answers over your policies, contracts and procedures, citing the passage behind each one.
- Data readiness for AI In development
- Document pipelines, access rules and data quality fixes before AI work begins.
- Managed AI operations In development
- Monitoring, evaluation runs, cost tracking and model upgrades for systems in production.
- AI engineers for your team In development
- ITG engineers trained in the practice method, embedded for a project or a quarter.
One method, every engagement
The same six steps run inside a two-week review and a six-month build, at different depths.
- I
Assess
Find the one problem worth solving first, and the data and constraints around it.
- II
Design
Agree the architecture, the evaluation plan and what "good enough to ship" means, in writing.
- III
Build
Ship in small increments inside your repositories, your cloud and your review process.
- IV
Validate
Test against real examples, attack the system the way a bad actor would, and fix what breaks.
- V
Hand over
Runbooks, training and a team on your side that can run it without us.
- VI
Prove
Measure the result in production against the goal agreed in the first step.
Our commitments to your data and your people
- Your data stays yours
- We work in your accounts with named, least-privilege access. Nothing is copied out without your written approval, and access is removed when we leave.
- Nothing is tested on your customers
- Test data is invented. Real records never go into an AI tool without your written approval.
- A person approves every consequential action
- AI drafts and recommends, and your people make the decision.
- You own what we build
- You own the accounts, the code and the deliverables from day one.
- Weekly written reporting
- A short written update every week, in plain language, for executives and engineers alike.
- Tools that outlast us
- Every engagement ends with a handover your team has rehearsed.
Ways to engage
Pricing is set after a scoping call, once we understand the work.
| Service | Form | Shape |
|---|---|---|
| AI implementation review | Fixed scope | Two to four weeks, a defined question and a written answer. The usual first step. |
| AI product development | Project | Milestones agreed up front, estimate confirmed in writing after the first week. |
| Technical advisory | Retainer | A named senior advisor, monthly hours agreed in advance, with a minimum and a cap. |
| AI enablement | Program | One-to-one or cohort, four to six weeks, built on your team's own work. |
Who leads the practice
Swapnil Tamse, AI Practice Lead
Swapnil has more than fifteen years in financial services engineering, most recently leading AI and AI security work. He holds an M.S. in Computer Science from New York University and leads Infinity Tech Group's Claude Partner Network membership.
He leads every engagement personally, from the scoping call to the handover, with ITG's engineering teams behind him.
Questions clients ask first
Will our data be used to train AI models?
No. We call models through your own accounts or gateway, with data sharing turned off. For AI-assisted development we use business accounts only, and at the end of the engagement we delete our copies and confirm it in writing.
Which AI models do you work with?
We choose per use case. We default to Anthropic's Claude, directly or through Amazon Bedrock or Google Vertex, because those routes fit the controls regulated firms already have.
Do you replace our engineering team?
No. We work inside your repositories and review process, and every engagement ends with your team running what we built.
How quickly can you start?
A scoping call within a week. An AI implementation review can start within two weeks of agreement.
Tell us what you are working on
A 30-minute call with someone who knows your industry. You leave with a clear view of your options.