When the answer is buried across notes, decks, calls, and spreadsheets

Get from a pile of context to a decision you can act on, faster.

Tegy reads what you already have, works out what matters, finds what is missing, and returns a decision-ready recommendation. You spend less time sorting and prompting and more time deciding.

See an example

The friction

Context overload.

Important information is spread across emails, notes, spreadsheets, decks, research, and people's heads. Someone still has to sort through it, and that someone is usually the person who owns the decision and has the least time for it.

What you get

Time back, and less to carry in your head.

Less hands-on sorting

Tegy consolidates the material you already have instead of asking you to summarize it first.

Less prompting

A repeatable process. You do not steer it step by step.

A usable artifact

The recommendation arrives written, with the evidence and next steps, ready to share.

Why the usual choices fall short

Generic AI makes you the context manager. Doing it yourself makes you the bottleneck.

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