Proxima.

Your team knows it's coming. Let's give them some good news.

Discover where AI fits, where it doesn't, and what makes sense for your business and your team.

AI rollouts fail for boring reasons.

  • Most pilots stall by month three.

    It is almost never the tech. The tool works fine in the demo. It dies in the handoff between the people who bought it and the people who were supposed to use it.

  • Platforms get bought to fix process problems.

    A new system layered on a broken workflow just makes the broken workflow faster. Nobody wrote down how the work actually gets done before the vendor showed up.

  • Quiet resistance beats any technical limit.

    Adoption does not fail loudly. It fails when a team leader shrugs and everyone goes back to the old spreadsheet. That is a people problem, and it has to be designed for.

  • Your data is split across a dozen tools.

    Each one owns a piece of the picture and none of them talk. AI on top of fragmented data gives you confident answers to the wrong questions.

Three things, in this order.

  1. 01

    People

    Who champions this, who resists, and how to design around both.

    We talk to the people doing the work, not just the people who signed the contract. Then we map who is going to push this forward, who is going to slow it down, and what each of them needs to hear.

  2. 02

    Systems

    What your stack does well, what it is costing you, and what should come in house.

    Every tool you pay for gets a plain answer: keep it, replace it, or build the thing yourself. We are not tied to any vendor, so the answer is not always buy more.

  3. 03

    Data

    Your information consolidated where you own it, with AI running on top.

    We pull the pieces out of the tools that hold them hostage and put them somewhere you control. AI is only as useful as the data it can see, so this comes before the shiny part.

The Adoption Assessment

Find out if AI will work here before you spend real money on it.

Price
$5,000
Flat. No hourly. No upsell inside the engagement.
Duration
2 to 3 weeks

What happens

  • Structured interviews across the organization, from leadership to the people doing the work.
  • Systems and data audit. Every tool, every integration, every place your data lives.
  • Workflow mapping. How the work actually gets done today, not how the org chart says it does.

What you get

A written roadmap you own. Where AI pays off, where it will not, what it costs, what order to do it in, and the human factors that will make or break it.

The honest part

If the assessment says you are not ready, we will say so. You keep the document either way.

For clients where it makes sense, a 90-day implementation engagement follows. It is scoped and quoted from the assessment findings, so you are never buying a plan you have not seen.

One engagement, in detail.

Proxima was the contractor. The client stays unnamed, so the mechanics have to carry the credibility.

Client

[CLIENT PLACEHOLDER: a professional services firm, roughly 140 people, four offices, private equity backed]

Situation

[SITUATION PLACEHOLDER: Leadership had approved two AI tools in twelve months. Neither made it past a pilot group. Client data was spread across a CRM, a project tool, a billing system, shared drives, and a great deal of email. The board wanted an AI plan. Nobody could say what the plan was for.]

Result

[XX%]
[METRIC PLACEHOLDER: reduction in proposal turnaround]
[XX hrs]
[METRIC PLACEHOLDER: weekly admin time returned per team]
[X of X]
[METRIC PLACEHOLDER: departments actively using the workflows at day 90]

[RESULT PLACEHOLDER: The firm shelved one of the two tools it had already bought. The roadmap called for it, and the numbers backed it up.]

What Proxima did

  1. 01

    [PLACEHOLDER: 31 structured interviews across every department and both pilot groups, including the people who had quietly stopped using the tools.]

  2. 02

    [PLACEHOLDER: Audited 14 systems and mapped the 9 workflows where most of the billable hours were actually spent.]

  3. 03

    [PLACEHOLDER: Consolidated client, project, and billing data into a single warehouse the firm owns, with the CRM and project tool syncing into it nightly.]

  4. 04

    [PLACEHOLDER: Built three AI workflows on top of that data: intake summaries, proposal drafting from past engagements, and weekly capacity reporting.]

  5. 05

    [PLACEHOLDER: Trained the two department leads who had been the loudest skeptics to run the rollout. Adoption followed them.]

Questions people ask before they book.

Tell us a little about your company.

We reply within one business day to set up a short intro call. No pitch deck, no discovery theater. If we are not the right fit we will tell you on that call.

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