Skip to content
Produlogi

Consulting · AI automation

AI automation consulting that people adopt

Design AI workflow automation people adopt: map the process, prototype the agent and roll it out with the humans in the loop.

Book a call about AI automation

AI will take over a large share of the routine steps in office work: reading the document, drafting the reply, matching the record, routing the ticket. The teams that benefit will be the ones whose staff trust the automation enough to stop doing the work twice. That trust gets designed, step by step, before launch.

We design AI automation from the process up. We map how the work happens today, decide which steps a model should take, prototype the automation and roll it out with the people who will live with it.

Built for

  • An operations lead with a process that eats hours every week. You know AI could help and you want a plan grounded in how your team works.
  • A company whose first automation went unused. The build works. Staff check its output by hand, or route around it.
  • A team moving from chatbots to agents. You have basic AI tools in place and want automation that takes actions, with the controls that implies.

Deliverables

  • Process map. The current workflow, step by step, with time spent, error points and the decisions a person makes.
  • Automation blueprint. For each step, the owner and the level of autonomy. A step can stay with a person, run on fixed rules or go to a model.
  • Working prototype. The automation built in a tool your team can run, tested on real cases from your process.
  • Approval and recovery design. The review screens, approval gates, undo paths and escalation to a person.
  • Rollout plan. A pilot group, training for the people involved, the adoption measures and the point at which you widen the rollout.

Autonomy, set per step

A single workflow mixes low-risk and high-risk steps. Drafting a reply is low risk. Sending money is not. We set the autonomy level per step: the agent drafts and a person approves, or the agent acts and a person reviews a log, or the agent acts alone with an off switch. Levels of autonomy for AI agents explains the five user roles we use to decide.

Working together

  1. Map. A live mapping session with the people who do the work.
  2. Decide. The blueprint: which steps to automate and how far.
  3. Prototype. A working version tested on real cases.
  4. Pilot. A small group uses it for real work while we watch the logs and talk to them.
  5. Roll out. The team widens use against the adoption measures, with an owner in place.

See the engagement formats and pricing. We work remote and async first from Kuala Lumpur (UTC+8).

Produlogi runs this track for teams worldwide, including Malaysia. If your team in Malaysia wants hands-on automation training that is claimable through AiTraining2U, see the training page or go to AiTraining2U.

The craft difference

  • The people who do the work design it with us. An automation designed in a meeting room gets bypassed on the floor.
  • Recovery before speed. An owner, a log and an undo path come first. AI pilot to production covers why pilots stall without them.
  • Adoption gets measured. We track whether people use the automation and trust its output, alongside hours saved.

Proof

Marcus co-teaches AI Agentic Automation with n8n as AiTraining2U faculty. The course covers agentic logic, n8n with MCP, deployment and retrieval, with builds such as document parsing, lead qualification and ticket triage. More on the about page.

TBC: first consented case study for this track.

If your team wants to build automations themselves, the n8n AI automation training runs in person in Malaysia through AiTraining2U. When the automation needs a new product surface, the AI products track picks it up.

Questions people ask

Do we need an AI agent, or is a workflow enough?

Many processes need a workflow with one or two model calls, which costs less and fails in fewer ways. We decide step by step, and recommend an agent only where the task needs judgment the workflow cannot encode.

Which automation tools do you use?

We choose per client. n8n suits many teams that want to own and inspect their automations, and Marcus co-teaches the AiTraining2U course on it. For agent-heavy work we look at the Claude and OpenAI agent tooling your engineers can support.

How do you get staff to use the automation?

We involve the people who do the work from the first mapping session, design the approval steps with them and roll out to a small group first. Adoption is a design problem, so we measure it like one.

What happens when the automation makes a mistake?

Every automation we design has a named owner, a log of what it did, a way to undo or correct and an escalation path to a person. We design those before the happy path.

Do you work with teams outside Malaysia?

Yes. We are based in Kuala Lumpur and work remote with teams worldwide, async first, with one weekly live call where our time zones overlap.

How do you handle time zones?

Process mapping runs as a live session in the overlap window. The rest is async, with written or recorded updates each week.

Related insights

AI Automation & Adoption

AI Pilot to Production: Scaling User-Centred AI

Most AI pilots stall after the demo. A practical guide to taking an AI pilot to production: baselines, trust, evals, ownership and a 90-day plan.

8 min read

AI Automation & Adoption

AI Adoption in Malaysia 2026: Broad and Shallow

AI adoption in Malaysia 2026: what the AWS and Xero surveys, AI Nation 2030 and Budget 2026 say, and a four-rung ladder for moving past the chatbot.

8 min read

AI Automation & Adoption

HRDC Corporate Training for AI and Design: What Malaysian Companies Need

Malaysian companies can use HRDC levies to upskill their teams in AI and product design. Learn how to structure corporate training programmes that deliver real capability, not just certificates.

4 min read

Next step

Tell us what you're building

Based in Kuala Lumpur, working with teams worldwide.

Book a call about AI automation