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Your First 90 Days with AI

What a first quarter of AI adoption actually looks like in a business of twenty to two hundred people, month by month, with the milestone that tells you each phase is done.

Set Expectations First

Ninety Days Is One Working Process, Not a Transformation

The single biggest predictor of a failed first quarter is an ambition mismatch. Leadership expects a visibly different business; the honest achievable outcome is one process meaningfully improved, one group of people confident in a new tool, and enough evidence to decide what comes second.

That sounds modest until you compare it to the alternative. Businesses that attempt four things in a quarter typically finish with four half-configured tools, no measured result, and a team that has quietly concluded AI is more trouble than it is worth. Recovering from that costs more than the slower path would have.

This ninety-day shape comes from rollouts we have run inside Dallas-area businesses, not from a framework. Because our office is in Plano, weeks two and six usually include someone from our team sitting with your staff rather than checking in over a call.

Month by Month

The Sequence That Works

Days 1-30
Establish and Contain

Find out what is already running. Publish a one-page use policy. Pick the single process you will improve and write down what success would look like as a number.

Done when: the policy is published, a named owner exists, and the target metric has a current baseline.
Days 31-60
Build and Train Narrowly

Configure the sanctioned tool for that one process. Train only the people who do that work, on that work, not a general AI awareness session for the whole company.

Done when: the target group is using it for real work without asking permission each time.
Days 61-90
Measure and Decide

Compare against the baseline honestly. Decide one of three things: widen it, adjust it, or stop it. Then choose the second process using what you learned, and see which measures survive a budget conversation.

Done when: a written readout exists and a decision has been made rather than deferred.

The step most businesses skip

Baselining in month one. Without a before number, month three becomes a conversation about whether people feel it helped, and feelings about new tools are always mixed, which reads as failure even when the result was good. Ten minutes of measurement in January decides how March goes.

FAQS

Frequently Asked Questions

Can we move faster than this?

Sometimes, and existing managed IT clients often do because the discovery work in month one is largely already done. What does not compress well is the adoption period. People need weeks of ordinary use before a measurement means anything.

High volume, low variation, clear rules, reachable data, and importantly, not customer-facing on the first attempt. Internal work gives you room to be wrong without a client noticing.

Then you have spent one quarter and one process finding that out, which is the cheapest possible version of that lesson. Diagnose the cause before concluding anything about AI generally, see why rollouts stall.

BK

Written and reviewed by Bob Kehr, President & Founder of Kehr Technologies, Plano City Council member, and Plano Chamber Small Business Person of the Year 2022. This sequence is the one he uses with clients, refined after the first few quarters taught him it was too ambitious.

Last reviewed August 2026 · Questions we have not answered here? Call 214-444-3583. Kehr Technologies is based in Plano, Texas, and works with businesses throughout the Dallas area.

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