Builders and operators for the AI era

Modernizing the way you work.

We make your organization, humans and AI, work as one. We set the direction with your leadership team, build AI into the actual work, and hand you a system your company owns and your people run.

Time to measured impact
Six to eight weeks from kickoff, against a baseline agreed before anything is built.
Who does the work
Experienced business and AI practitioners. No bench, junior team, or handoff after the sale.
What you keep
The environment, models, workflows, applications, and documentation. No on-going SaaS license or per seat fee.

Why now

Everyone has AI. Almost nobody has the value.

The capability is here and it gets cheaper every month. The gap widens as AI keeps landing next to the business instead of inside it. Pilots that never touch a real workflow. Tools that add a login instead of removing a step. Roadmaps that age faster than they get approved.

From using AI to getting value from itShare of organizations, 2026
Use AI in at least one function
89%
Have scaled it across the enterprise
44%
See any impact on EBIT at all
37%
High performers, 6% or more of EBIT from AI
6%
McKinsey, The State of AI, August 2026. 1,719 respondents across 97 countries.
56%
of CEOs report neither higher revenue nor lower cost from their AI investment
PwC, 29th Global CEO Survey, January 2026. 4,454 CEOs.
95%
of enterprise generative AI pilots show no measurable P&L impact
MIT NANDA, The GenAI Divide, State of AI in Business 2025
5%
of companies are built to capture AI value at scale. 60% report minimal revenue or cost gains
BCG, The Widening AI Value Gap, September 2025
The difference is the workflow.73% of the high performers fundamentally redesigned how the work runs, up from 55% a year earlier. The companies getting the return changed the work first and embedded the technology second. That is the whole Vai method, and McKinsey still puts $2.6 to $4.4 trillion a year of value on the table for the companies that do it.
The companies that succeed will not simply adopt AI tools. They will redesign themselves around intelligence.
Salim IsmailAuthor, Exponential Organizations

What we believe

The system that runs your company is not your software. It is your people.

Ask how a job gets priced. Ask why that customer ships partial. Ask which invoice to chase first on a Monday morning. The answer is a name, not a screen.

That judgment is the most valuable asset in the business and the least protected. It sets the ceiling on how fast you can grow. It goes on vacation. Eventually it retires.

On one engagement, we lifted seventy-two business rules out of three people's heads and codified them, with those three people sitting next to us correcting the output. The order desk still runs the business, but it is no longer the only place the business is written down.

An operator at the control panel of a CNC machineWhere the rules live today
Today
QuoteRe-keyedTravelerRe-keyedERPRe-keyedCert package
With Vai
QuoteCodified rulesTravelerA person approvesERPCodified rulesCert packageA person decides
The week today
Moving data 70%
Deciding 30%

Most of the week is spent keeping systems in step. Illustrative.

The week with Vai
Data 20%
Deciding and selling 80%

Same team. More volume, faster answers, better decisions. Illustrative.

The same job data, re-keyed by hand three times today, with the rules living in someone's memory. With Vai, it is captured once and applied by codified rules, and a person sits at the intersection of decisions. We do not replace the stations. We remove the re-entry between them.

The point of it all

Give people back the part of the job that actually needs a person.

The judgment call. The customer who is upset. The exception nobody has seen before. The relationship that took nine years to build. Software should carry the retyping, the chasing, and the reconciling, because that was never anybody's best work and it is not why you hired them. We measure success in whether the company can grow without the work growing with it, and whether the people doing that work spend their day on something worth their judgment.

What it looks like

One screen. Every morning.

This is what a pilot looks like in 4 weeks. An accounts receivable command center, built on the company's own data, ranked on the rules we captured from the people who held them. The routine work is carried by software. A person decides on the accounts that need a conversation.

AR Command CenterServices company · pilot, stage 2Illustrative data
Queue worked today27 of 4068%. Target 80% same day by week 3
Drafts sent, light or no edit74%Above the 70% target
List build time4 minDown from about 35 a day
Collected within terms+2.6 ptsWorked cohort against control
#Account and ruleBalanceDaysNext step
1Northgate Dental GroupBroken promise · missed by 9 days$18,24047Call
2Riverside Urgent CareDispute over 60 days · two sites dispute counts$27,30088Customer service
3Hillcrest Surgical CenterRemittance, no funds · received 5 days ago$22,48051Call AP
4Lakeview Family HealthRoutine reminder · terms plus 12$6,12042Draft ready
Northgate Dental Group
Balance$18,240
Days out47
Billing contactOffice manager
Payment methodACH, not enrolled
Why it is ranked here
  • Broken promise, the rule the AR lead applied by hand
  • Balance above the call threshold you set
  • A person decides. The draft is ready to send or edit

Where the value shows up

Three kinds of return, and most companies only chase the first one.

Cost and hours are the easiest to see and the easiest to sell, so that is where most AI programs stop. The larger returns are usually found by enabling growth and innovation. We scope every engagement against all three and say up front which one we expect to move first.

  • 01 Productivity

    Run it leaner.

    Hours returned to the team. Cycle times cut. Errors, rework and expedites down. The cost of processing a transaction falling while volume rises.

    Measured in hours, cycle time and cost per transaction
  • 02 Growth

    Grow without adding.

    The same team carrying more revenue. More of what you quote turned into work, more of what arrives actually quoted, and promise dates that hold up well enough to win the next order.

    Measured in revenue per head, quote volume and on-time delivery
  • 03 Innovation

    Build what you could not before.

    Work that was uneconomic last year and is ordinary now. New products, new service models, and offers built on data you already own and never used.

    Measured in new offers shipped and revenue from data you already hold

What we do

We set the direction and then we build it.

Most firms do one or the other. The strategy houses write the roadmap and hand it to somebody else. The build shops wait for a spec and never question it. We do both, which is why the outcome is ours to defend.

  1. 01

    Executive Alignment & AI Direction

    Days
    Hands overAn agreed ambition, where AI goes first, and who owns it.
  2. 02

    Strategic Roadmap

    Two to four weeks
    Hands overA sequenced portfolio with a value case per wave.
  3. 03

    Value Discovery

    Two weeks
    Hands overA scored backlog and an agreed baseline.
  4. 04

    Pilot Build

    Four to eight weeks
    Hands overA working system and a measured number.
  5. 05

    Scale & Integrate

    Per wave
    Hands overConnected workflows across your systems, wave by wave.
  6. 06

    Run & Govern

    Ongoing, or hand it over
    Ends withA system that stays current, or a clean handover.

Strategy firms stop after two. Build shops start at three and never ask why. You approve one stage at a time, and every stage is fixed fee.

Security, compliance and governance

Built for environments where accuracy is critical.

We design this first, because it decides what we are allowed to build. Our founding partner has spent fifty years inside the aerospace and defense supply chain, where a process counts only once it has been verified. We work to that standard everywhere, because most of our clients turn out to need it once they look.

Your environment or your tenancy
Your data
Private models
Codified rules
Role based access · approval thresholds · person in the loop · audit trail on every automated action
Inference callscross the boundary under enterprise terms
Your data as training datanever crosses it
  • Your data stays yours.

    Everything runs inside your environment or your tenancy. Your drawings, programs, financials and customer data never train a public model and never leave your boundary.

  • Controls you can demonstrate.

    Role based access, approval thresholds you set, a person in the loop where it matters, and a full audit trail on every automated action. Every one of them auditable on request.

  • Built to your framework.

    Informed by NIST 800-171 and CMMC for defense work, AS9100 for quality records, and your own information security policy wherever it is stricter than any of them.

  • Governed after go live.

    Model and rule versioning, drift monitoring, a named owner for every automation, and a quarterly review of the whole AI portfolio against the value it was meant to deliver.

Where we play

Where we go deepest.

Industries where the work is regulated, the systems are old, and the judgment lives in people. Our founders have run and advised businesses in each of them, and the discipline from the most demanding one travels to the rest.

  • Aerospace & Defense

    AS9100 and first article, certificates of conformance, supplier quality, controlled and export sensitive data, and high mix low volume production.

  • Precision & Industrial Manufacturing

    RFQ to quote, routers and travelers, scheduling to a promise date you can keep, and the gap between what the system says about WIP and what is on the bench.

  • Hospitality & Travel

    Guest and group demand, pricing and revenue decisions, property operations and the service exceptions that decide whether a guest comes back.

  • Automotive & Aftermarket

    Order intake across every format, dealer and distributor service, parts availability, and systems of record that keep up with growth.

  • Healthcare & Life Sciences

    Revenue cycle and collections, scheduling and capacity, documentation that regulators will read, and data that stays inside your boundary.

  • Supply Chain & Logistics

    Procurement and expediting, inventory truth, promise dates that hold, and one accurate picture of every open order across systems.

Principles

Four principles, each one an operating rule.

  1. Modernize.

    We work with the systems you already have. The legacy ERP is usually load bearing and usually stays. What changes is the work in front of it.

  2. Trust.

    Your data stays in your environment and never trains public models. Guardrails, access control and a full audit trail, built to your framework and demonstrable on request.

  3. Value.

    We take the baseline before we build and measure against it after. If the number does not move, we say so out loud.

  4. Adaptability.

    Short iterations, working output at every step, and you steer what comes next. Nothing is built behind a curtain.

Start here

Get the leadership team aligned. Then pick one workflow.

Some clients start with a day in a room and leave with an agreed direction. Others already know the workflow that is costing them and want it built. Either door works, and both end in the same place, which is a measured return and a system you own.