Skip to main content
Lokomotif AI
Lokomotif AI
Start the diagnostic
hey@lokomotif.ai
TREN

We don't add AI; we redraw the flow.

We pick one end-to-end workflow and redesign it from scratch together with AI; roles, decision rights, measurement and governance included. The output is not a tool installation; it is a new operating rhythm, handed over to the team and working in the field.

Start with the Diagnostic

  1. Workflow structure

    Before

    Pre-AI design; tools bolted on top.

    After

    A redrawn, AI-embedded end-to-end flow.

  2. AI's position

    Before

    A side tool; individual and scattered use.

    After

    Inside the flow, at role-specific decision points.

  3. Roles

    Before

    Unclear; ownership changes every time.

    After

    Defined; each output's owner and approver in writing.

  4. Decision rights

    Before

    Scattered; AI or human is unclear.

    After

    Aligned; which decision is made with AI and which by a person, in writing.

  5. Measurement

    Before

    Absent or fragmented.

    After

    A live dashboard; baseline + T₁ + T₃ measurement points in place.

  6. Governance

    Before

    Absent or dependent on individual initiative.

    After

    Escalation and audit path in writing; aligned with sector regulation.

Duration
6-12 weeks, 4 phases
Team
Cross-functional
Scope
1 end-to-end workflow

Who it's for.

01

AI-Absent

AI is not used systematically inside the company; not even a first PoC. A working practice in a single scenario needs to be built first.

The next moveAdoption Sprint
02

AI-Curious

One or two PoCs have run; there is individual use in the team. The scatter is ready to be gathered into one workflow.

The right startWorkflow Rewire
03

AI-Integrated

A few flows show systematic use, but they stay local. Time to redraw one end-to-end workflow.

The right startWorkflow Rewire
04

AI-Native

AI and agent infrastructure sit in the core layers of the operation. The next job is moving to autonomous operation and matching governance.

The next moveAgentic Scale
If you are AI-Absent

A working practice in a single scenario comes first; Rewire works meaningfully after that.

Adoption Sprint
Signals we see in the field

What the middle two levels above look like in the field. If one or more apply to your company, Rewire is the right start for you.

  • A few PoCs ran, but their company-level impact stayed limited.

  • AI use is individual; processes still run on pre-AI design.

  • Measurement is scattered; no one collects the data to prove ROI.

  • Roles are unclear; the owner and approver of AI output changes every time.

  • Leadership says 'let's scale the PoCs'; how is not written down.

If you are AI-Native

Workflow redesign is behind you; the next job is moving to autonomous operation.

Agentic Scale

Deliverables.

  1. Redesigned workflow

    The new end-to-end flow, with AI touchpoints along the customer journey and decision rights, in written documentation.

  2. Role and ownership model

    Who does what at each stage, who approves the AI output, where ownership sits; all clarified.

  3. Measurement dashboard

    A dashboard tracking the new flow's live performance; baseline + T₁ + T₃ measurement points in place.

  4. Governance framework

    Which decision is made with AI, which by a person, which jointly; escalation and audit path in writing.

  5. Risk and compliance protocol

    An intervention protocol for data, model-output and faulty-decision scenarios; aligned with sector regulation.

  6. Structured role training

    RTCS-G based, role-specific training that carries the redefined roles into daily operations.

What we don't do.

  • A quick PoC in a single scenario

    Building a fast working pilot in one scenario is the Adoption Sprint's job. Rewire redraws the end-to-end flow.

  • Autonomous agent infrastructure

    Agentic architecture and matching governance are Agentic Scale's job. In Rewire AI is embedded in the human workflow; people and AI decide together.

  • Tool selection and purchasing

    Which LLM or platform to buy is a separate decision path. Rewire starts from method; tool selection follows, aligned with the structural decision.

Activation

Formats run in this move

Feeding Workflow Rewire with activation brings the prototype closer to production; a hackathon produces output working in a real workflow, a prompt-a-thon builds the team's discipline.

  • Hackathon2 days

    Produces a prototype working in a real workflow.

  • Prompt-a-thonHalf a day

    Builds a shared prompt library with RTCS-G.

  • AI Office HoursWeekly / biweekly

    A recurring clinic carrying momentum between major events.

Activation overview

Frequently asked.

  • How does Workflow Rewire differ from the Adoption Sprint?

    The Sprint produces a working proof in a single scenario. Rewire rebuilds an end-to-end workflow: AI embedded, roles clarified, measurement defined from the start. The move from proof to operating order.

  • Do we have to change our existing processes completely?

    No. We pick one flow and redesign it; the scope of change and the pace of handover are set with you. The goal is a working order, not demolition.

  • How long does it take?

    Six to twelve weeks, depending on the flow's complexity. The duration estimate and milestones are shared in writing at the start.

  • What do we end up holding as output?

    The redesigned workflow, the role and ownership model, and a measurement dashboard built from the start. The workflow runs without depending on anyone.

  • Can our team sustain this new flow?

    Yes; the design is handover-oriented. Roles, ownership and measurement pass to your team, so the flow keeps working after us.

Discovery call

The most expensive step is starting in the wrong place.

In enterprise AI, most budgets evaporate on the wrong first step. The right starting point differs from company to company; a free 30-minute discovery call pins down yours.

Skip the form and reach Lokomotif AI's founder directly.

Fatih GünerFounder, Lokomotif AI
fatih@lokomotif.ai