AI-first delivery consultancy

Ship at AI speed.
Stay in control.

vittr labs rebuilds how your teams build: agents, AI-assisted engineering, automated delivery loops, wired into the security boundaries, spend controls, and brand guardrails that turn a fast demo into a system you can actually run.

2 days
to a ranked map of what to automate first
3 weeks
to the first workflow running in production
Zero
customer data leaving your perimeter by default
100%
of the work handed back to your team

01 — What we do

Four levers. Pulled in the right order.

Most AI programs stall in the gap between an impressive prototype and something security, finance, and the on-call engineer will all sign off on. We work that gap.

01

AI-first engineering

We rebuild the delivery loop around AI: scaffolding, refactors, migrations, tests, review, and docs handled by tooling your engineers actually trust. Vibe coding with a safety net: conventions, checks, and review gates that hold up under real velocity.

  • Agent-assisted development
  • AI code review
  • Test & migration automation
02

Agentic workflow design

We find the workflows worth automating: the ones with volume, clear success criteria, and a real cost today. Then we build them end to end — tools, memory, evaluations, human checkpoints, and a rollback path for the day it goes sideways.

  • Opportunity mapping
  • Tool & MCP integration
  • Evals and guardrails
03

Secure AI architecture

Data boundaries, model routing, retention, secrets, tenancy, prompt injection defense, and audit trails — designed before the first prototype ships, not bolted on after legal asks where the data went.

  • Data boundary design
  • Access & audit
  • Vendor and model review
04

Spend, model ops & enablement

Routing, caching, and per-team budgets so cost tracks value instead of surprising you at quarter close. Plus hands-on programs that take your engineers, PMs, and analysts from occasional prompting to shipping with agents daily.

  • Cost visibility
  • Model routing & caching
  • Team enablement

02 — How it works

Six weeks from first conversation to something you own.

No discovery phase that produces a deck. We build in your stack, with your engineers in the room, and we leave when your team no longer needs us.

  1. 01Week 0

    Map

    Two days inside your stack, your workflows, and your constraints. You get a ranked list of automation targets, a data-risk map, and an honest baseline of what the work costs today — before anyone writes a prompt.

  2. 02Weeks 1–3

    Build

    We ship the highest-value workflow into a real environment. Working software against real data, integrated with real systems, pair-built with your team so the knowledge lands as the code does.

  3. 03Weeks 4–6

    Harden

    Evaluations, guardrails, budgets, access controls, monitoring, and runbooks. Everything that made it a prototype gets removed, and everything that makes it operable gets added.

  4. 04Then

    Hand off

    Documentation, standards, and training so the next ten workflows don’t need us. We’d rather be the reason your team got fast than a line item that never ends.

03 — Principles

Three things we won’t trade against each other.

Velocity

Speed is the whole point. We work in weeks because AI-first delivery makes weeks possible, and because a six-month program is obsolete before it lands.

Security

Your data stays inside boundaries you set. Every engagement starts with where data can go, who can see it, what gets retained, and how you’d prove it in an audit.

Value

Token spend, seat spend, and vendor sprawl get measured against the work they replace. If a workflow doesn’t earn its cost, we say so and turn it off.

04 — Get started

Tell us where you’re stuck.

A 30-minute call, no deck. Bring one workflow that’s slow, expensive, or risky and we’ll tell you plainly whether AI is the right tool for it — and what it would take.

Based in the U.S. Working with teams anywhere.