about tektari · who verifies your ai decisions

Built by someone who has been audited too.

Tektari is the verification layer for mid-market industrial AI decisions. It was founded by an operator who scaled a digital-transformation function inside audited, expensive-to-get-wrong operations — then turned that same discipline on the AI decisions in front of executives today. No implementation sold, no vendor commissions, prices on the site.

Start with the free Scoreboard

01

who's behind it

"I built the digital-transformation function you're trying to stand up — then put AI to work on real megaproject controls, under real stakes. Now I verify AI decisions for operators, and drill their teams until they can do it without me."
Mohamed Adel · founder
Scaled an enterprise digital-transformation program 5→35 during $1B→$3.5B growth · data-centre megaproject delivery · 1,300+ RFIs analysed into a multi-million-dollar position · MBET (Waterloo)
02

why the background matters

Most people selling "AI for business" have never had their own work audited. The discipline Tektari runs on didn't come from a slide deck — it was proven inside operations where a wrong number gets caught, costs real money, and has your name on it: megaprojects, plants, and safety-critical work, where the sign-off is a person and the audit is real.

That background is here as proof, not a market. Tektari does not sell into construction — the founder's construction and megaproject experience is credibility for the verification method, never a line of business. The method itself is industry-neutral by construction: it asks whether a problem exists on paper, whether a baseline is signed, whether an acceptance test can be run by your own team. Those questions don't change when the plant does.

a · audited operations

Proven where mistakes get caught

The verification habits — a signed baseline, a written pass/fail test, a kill rule — were built inside expensive-to-get-wrong operations, not invented for a landing page. Trust-but-verify is the native language, not a tagline.

b · at real scale

A function scaled 5→35

An enterprise digital-transformation program grown from 5 to 35 during $1B→$3.5B of growth — the productized version is Tektari's Business AI Transformation Program. This was run, not theorized.

c · under real stakes

Analysis that had to hold up

1,300+ RFIs analysed into a multi-million-dollar position; AI put to work on real controls under real exposure. The same rigor now grades your AI decision — with part of our own fee riding on the answer.

d · clean-room teaching

Never your data, never a client named

Every teaching and marketing artifact uses clean-room synthetic data. No real employer, client, or project is ever named or used; a live engagement runs only on your own records. This is a legal constraint, not a style choice.

03

the stance this is built on

The party that diagnoses your AI problem usually sells you the cure. Tektari's verification line is built to break that — and the rules are published, not promised in a sales call. This is the founder's personal stance, written into a Verification Charter you can hold the firm to.

  • 01

    No implementation sold

    The verification line sells no build, integration, or deployment. If an assessment says a pilot is worth running, we are not the ones who get paid to run it — the diagnosis is the whole product.

  • 02

    No vendor money, ever

    No vendor commissions and no referral fees. Nothing about which tool you choose changes what Tektari earns. The benchmark never tells you to buy something from its author.

  • 03

    Prices published

    Every price lives on the site, not inside a proposal — the Scoreboard is free, the audit is $12,500 fixed, and the coaching line is published too. And verification fees never credit toward any other Tektari offer.

  • 04

    Part of the fee at risk

    Every assessment is issued against a published protocol with an acceptance test your own team can run without us — and part of our own fee rides on the result. A "don't run this" finding is a fee-costing one for us.

These four bind the verification line only; the coaching and enablement line is deliberately firewalled from it. Read the full Verification Charter →

what to do with this

The fastest way to judge the method is to run it on yourself.

The free Industrial AI Scoreboard takes a few minutes and tells you which of four bands you're in and your weakest discipline. If you want the paid version on one real decision, the Problem-Definition Audit puts a signed baseline and a written acceptance test on it — with $2,500 of our fee riding on whether the pilot passes.

See the audit
start free · twenty questions

See where you stand.

Start with the free Industrial AI Scoreboard — twenty scored questions, no sales call. Your score against published bands now; peer percentiles when the pool earns them.

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