When someone else has to check the reasoning

Walk in with reasoning, numbers, and sources other people can check.

Tegy produces the evidence, the calculations, and the explicit assumptions behind a recommendation, so a board, client, or investment committee can inspect it instead of taking it on faith.

See an example

The friction

The evidence and logic gap.

The recommendation is not backed by reasoning, numbers, or a source trail others will accept. A confident answer is not a defensible one, and the people who have to approve it know the difference.

What you get

A case someone else can check.

Evidence shown

Where the facts came from, so a reviewer can go and look.

Calculations shown

The numbers behind the recommendation, laid out so someone else can re-run them.

Assumptions labeled

What is known, what is assumed, and what is still unknown, kept separate.

Why the usual choices fall short

A confident AI answer is not a business case.

Where it breaks

Tegy

A general AI assistant

Agrees with you. You still choose the method, push back on weak logic, manage the context, and turn a chat into a decision artifact.

Runs a repeatable process, shows the evidence and assumptions, and writes a recommendation ready to review and share.

Doing it yourself

Maximum control. It also consumes the owner's time, varies with the owner's skill, reinforces blind spots, and often stalls at handoff.

Offloads the work while you keep transparency, control, and a reusable artifact.

What Tegy does

The work behind the decision, done in the open.

Reads what you already have

Notes, spreadsheets, decks, call transcripts, research. Bring it as it is. No clean brief required.

Finds what is missing

The facts your current thinking skips and the risks it hides. Tegy stops to ask you about the assumptions the decision depends on instead of quietly guessing.

Compares the real options

Side by side, with the second-order effects and the numbers checked.

Writes the recommendation

Evidence, assumptions, and next steps shown. Ready to review, share, and hand to the next owner.

See it on a real decision

One pricing call, start to finish.

A normal AI chat agrees with you. A consulting firm gets it right, months and six figures later. Tegy gives you the rigor now.

The question

We think we're underpriced. Do we raise prices, and by how much, without losing customers?

A normal AI chat

Good question. There are arguments on both sides. Raising prices could grow revenue, but it might push some customers away. A small increase is safer; a big one is riskier. It really depends on your goals and your market.

Sounds good. Agrees with you. Says nothing.

How it's thinking

Mapped what each segment will actually pay
Modeled the revenue gain against the churn risk
Found the assumption you hadn't tested

Stops to ask youYour biggest accounts may be far more price-sensitive than the rest, and you haven't tested it. Confirm it, fix it, or flag it as unknown.

What you walk away with

An executive summary
A pricing playbook
A market map
A board-ready deck
A financial model
An investment memo
An action plan

Done in minutes, not weeks.

Founding user program

Bring a real decision.

Founding users get 3 days free. After that, $39 a month per seat covers 10 decisions (solve, review, brief), or $19 a month per seat covers 3.

Larger team? Get in touch