AI consulting: the work mapped, then built where you already work.

1. 01

   Assessment

   We spend time with the people who do the work. We write the real steps: who owns each one, where a handoff breaks, where the same data is typed again, and where work waits.

   • The opening page uses the words of the people who do the work
   • The documented flow and the real one, side by side
   • Hours, delay, and risk, counted from their numbers
   • A short list of processes worth touching, and the ones we will leave
2. 02

   Strategy

   Stable rules become code. Inputs that change, and that need a tool, become an agent. A decision that needs judgment stays with a person. We do not put an agent on work that rarely happens.

   • One source of truth if you do not have one
   • Build on the ERP or CRM if it already does the job
   • Architecture: what connects to what, and what stays human
   • A roadmap with something visible in each phase
3. 03

   Implementation

   Forward-deployed engineering: the people who build work inside the operation and ship agents and automation on the systems you already have.

   • A test environment, then a run beside the person who does the job, then a small slice of production
   • Checks against the points a skilled person already verifies
   • The smallest piece that can run on its own comes first. It takes action only after that piece is reliable
   • A record of what the system decided
4. 04

   Training

   The team has to run the system without us in the room. They receive a written operating guide and use it on real work the following week.

   • The people who own the process, not a broadcast to the company
   • How to correct a bad output without a ticket for every line
   • Which rules they can change themselves
5. 05

   Support

   After go-live the system has to keep working when we are not there. Each support cycle has a result you can point to. We do not bill a month that produced nothing.

   • Edge cases from real volume, not from the demo
   • Rules updated by the operation, not only by an engineer
   • A decision to extend the scope, or to close the engagement

1. 01

   Executive summary

   Your situation, what we propose, and the expected outcome, on one page.

2. 02

   Current state

   The workflows drawn: steps, owners, broken handoffs, data typed twice, work waiting.

3. 03

   Cost of leaving it

   Hours, delay, risk. Counted from what we heard. If we do not have the number, we do not invent it.

4. 04

   Proposed system

   What connects to what. Before and after. The tools. Where data moves. What a person still decides.

5. 05

   Roadmap

   Phases, and a deliverable you can review in each one.

6. 06

   Return

   Only what we can count from your numbers, stated conservatively.

• Assessment only

  You leave with the document. A later implementation is a separate decision.

• Assessment, then implementation

  The same document, then we implement what it recommends.

• One workflow

  A single process, end to end. Intake, a handoff, an exception.

• One department

  One function: records, automations, agents, checks, training.

• Operating layer

  One source of record where you do not have one, then agents on top of it.

• Support

  After go-live, with a visible result in each cycle.

• Professional services

  Intake, and the document chase that repeats every cycle.

• Field operations

  Status that lives in messages instead of in the job.

• Logistics

  A quote or a dispatch step spread across systems.

• Manufacturing

  Quality that is checked after the damage is done.

• Sales operations

  Handoffs, and the account that goes quiet before anyone notices.

• Commerce

  Customer support volume that the current team cannot absorb.

Limits

What we will not do

• We will not put a model on a process nobody has mapped.
• We will not replace your system of record just to install something of ours.
• We will not quote a saving that did not come from your numbers.
• We will not put an agent on work that rarely happens.
• We will not treat a demo as training.

Frequently asked questions