VICTORIA. — AI deployment for businesses

Who we work with

Mid-market · companies of 50 to 2,000 people

Out of the pilot, into production, onto the P&L.

One workflow, scoped and built against your real systems, proven on your real cases, and run after launch. Working pilot in 30 days.

How we work with mid-market

Enterprise · procurement-ready

AI that clears security review and reaches scale.

Engineered to the standard procurement now writes into contracts: kill switches, audit trails, model change control and statistical acceptance testing.

The enterprise engagement

AI Rescue · triage within 48 hours

Already deployed AI that doesn't do the job?

We take over stalled deployments, find what actually broke, and tell you in writing whether to fix it, rebuild it or retire it.

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Why most AI stalls

70%

of $100M–$1B companies say at least half their core applications cannot support AI

Grant Thornton, 2026 (n=950)

5%

of custom AI tools that companies evaluated made it into production

MIT Project NANDA, 2025

63%

of executives report no measurable earnings impact from AI

McKinsey State of AI, August 2026 (n=1,719)

25%

of companies have moved even 40% of their AI pilots into production

Deloitte State of AI, 2026 (n=3,235)

The usage is there. The earnings are not.

Eight in ten people say AI makes them personally more productive. Just 6% of companies report an earnings impact of 5% or more. The gap between the two is implementation: connecting the model to your real systems, testing it against your real cases, and keeping it working after launch. That is the work we do.

How we work

Five phases. Testing is one of them.

01 Scope & data readiness
One workflow, one owner, one number we agree to move. We check your data can carry it before anything is built.
02 Build against your systems
Results come from how deeply the system is wired into your tools, not from which model it uses. We build and own that layer.
03 Test on your real cases
Before anyone outside your team sees it, we run it against 100 to 300 of your real cases. The pass mark is agreed in advance; you sign off on results, not a demo.
04 Deploy with controls
People stay in the loop wherever an error would cost real money. Spend limits, retry limits and a kill switch from day one.
05 Run & improve
We operate what we build, measure it every month and improve it. Systems nobody maintains repeat their mistakes.

Services

Five things we build. Ranked by the evidence that they work.

01 Data & systems readiness
Seven in ten companies your size say at least half of their core applications cannot support AI.
02 Customer support automation
The only AI use case with a peer-reviewed causal result: +14% productivity across 5,179 support agents, +34% for the newest hires.
03 Document & back-office processing
Contracts, invoices, claims, policies, onboarding packs, the month-end close.
04 Sales & marketing AI
Marketing and customer success are the third- and fourth-largest AI budgets in the enterprise, and the most crowded with subscriptions.
05 Governance, evaluation & measurement
Only 18% of companies your size are confident they could pass an independent AI governance audit, and 12% have a tested incident playbook, while most already give AI systems access to their data.

Every one of these is delivered the same way: scoped to one outcome, built against your systems, tested on your real cases, then run and improved for you. All five services

Pricing

Packages from $999 a month. Larger scopes quoted to fit.

Starter

From $999 / month

One workflow, automated properly. Built against your systems, tested on your real cases, then operated and improved for you every month with a monthly report. For businesses that want one thing done well.

Scale

Custom build fee + monthly run

Several workflows or agents across teams, deeper integration work, tiered autonomy and a monthly governance report. A fixed build fee agreed up front, plus a run retainer sized to the estate.

Enterprise

Custom quoted per engagement

A governed pilot in your environment, statistical acceptance testing, outcome SLAs and a governance retainer for your risk function. Verified-outcome terms where they fit.

The enterprise engagement

No seats and no surprise line items. Every package is written down, with what it covers and what it costs, before work starts.

Talk to us

Tell us the workflow that slows your business down.

In 30 minutes we'll tell you whether it is a fit for AI, what it would take to put into production, and what it would cost. No deck, no obligation.

Already deployed AI that isn't working? AI Rescue

Deployable AI agents engineered for business