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AI & technology

AI adoption without the expensive detours.

We help businesses find where AI creates real leverage, and avoid expensive detours into tools that don’t move the needle. Audits, vendor selection, workflow design, governance — plus an advisor on call as the build unfolds.

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What we advise on

Five things that save you from the expensive lap.

Where it starts

Business AI readiness

A clean-slate read on where you are — data, processes, team capability, existing tools — mapped against where AI actually creates leverage in your business.

  • AI maturity assessment
  • Tool stack audit
  • Team capability assessment

  • Vendor evaluation & selection support

    A structured evaluation against your actual requirements, not the vendor’s demo script.

  • AI workflow & automation design

    Triggers, steps, human gates, exception paths and escalation, designed for production rather than a demo.

  • Build vs. buy analysis

    Build it, buy it or extend what you already pay for, weighed on capability fit, integration cost, total cost of ownership and exit risk.

  • AI governance & risk framework

    A working governance doc: acceptable use, data handling, eval cadence and human-in-the-loop gates, built early instead of after the audit.

One-day workshop · For owners and their leads

Find where AI pays. Be ready when agents shop.

One working day on your business, not a lecture. You leave knowing where AI earns its keep, and what it takes for an AI shopping assistant to find you.

  1. Morning

    Find where AI pays

    We read your industry and your operation for the places AI takes work off the table, for your customers and for your team. You keep the value and skip the complexity.

  2. Afternoon

    Get ready for agentic commerce

    Walmart and Target already sell inside ChatGPT, and Walmart inside Google's Gemini. When a shopper's assistant becomes the front door, a local business it can't read is easy to pass over. We make yours readable before that is the norm.

All day

Treat trust as the asset

When agents act for real people, privacy and security stop being a checkbox. Shoppers who don't feel protected stop trusting, and trust is the one asset that compounds. That's the idea behind Intention Marketing.

What you leave with

  • Opportunity map

    Where AI takes work off the table, ranked by value and effort.

  • Agent readiness

    How AI assistants see your business today, and where they get stuck.

  • 90-day plan

    Your first three moves, with owners and dates.

Proposed agenda

Business first. Then the shopper.

Part 1 · Find where AI pays

  1. 9:00Welcome and goalsWhat a good day looks like for you, and how we’ll measure it.
  2. 9:30Your operation, end to endWalk the customer journey and the team’s week. Where does time go?
  3. 10:30Break
  4. 10:45Where AI paysMap the work AI can take off the table, for customers and for staff.
  5. 11:30Rank the opportunitiesScore each by value and effort. Keep what pays, drop what doesn’t.
  6. 12:00Lunch

Part 2 · Get ready for agentic commerce

  1. 1:00How assistants shop nowWhat changes when a shopper’s AI assistant becomes the front door.
  2. 1:45Can an assistant read you?A live check: we ask AI assistants about your business and see what comes back.
  3. 2:45Break
  4. 3:00Close the gapsSite, listings and product information, in the order that matters most.
  5. 3:45Your 90-day planThree moves from both halves of the day, with owners and dates. Then we wrap.
Format
One working day
Who
Owners and their leads
Book the workshop

How an engagement runs

Scoped to you, shaped the same.

  1. Discovery

    Where you are today: data, processes, team capability, existing tools.

  2. Assessment

    Use cases ranked by impact and feasibility, and the stack audited.

  3. Recommendations

    The stack and the roadmap: which use case ships first, and why the others wait.

  4. Implementation support

    An open async channel as the build unfolds.

What you leave with

Work your team can run with.

Get the AI strategy, stack and rollout right before the budget gets committed and the contracts get signed.

  • Prioritized use-case shortlist

    Ranked by revenue impact, feasibility, time to value and risk, with the one that ships first.

  • Stack recommendation

    What you pay for, what’s used, what’s duplicative, what’s missing, and the stack to be on in twelve months.

  • Data architecture plan

    Sources, identity, freshness, lineage and consent, mapped to the use cases so data and AI work stay in sync.

  • Rollout plan

    The workflow, integration points and human-in-the-loop gates, phased to ship in measurable steps.

Pairs well with

All advisory services

Start with a conversation.

Get an honest read before the budget gets committed.

Book a consultationor ask Sasha a question