HARNESSING AGENTIC WORKFLOWS

Better engineering.
Shared intelligence.
Human direction.

Connect people, AI agents and engineering systems in workflows that are useful, accountable and built to work together.

Practical systems. Clear boundaries. Evidence you can review.

ENGINEERED FOR COLLABORATION

Shared context

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Scoped tools

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Human oversight

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Traceable outcomes

FROM IDEAS TO ENGINEERING

A workflow is where
intelligence becomes useful.

A good agentic workflow connects a clear goal to the right context, tools and checks. We’re developing services to make that connection practical in real engineering environments.

01

Engineering workflows

Turn recurring investigation, change preparation and documentation into bounded steps with clear review points.

02

Governance from day one

Give prompts an owner, a version and an evaluation process. Define permissions before connecting agents to your systems.

03

Connected collaboration

Use shared MCP tools and a managed project record so agents and humans work from the same context.

Discover the services we’re developing

THE THINKING BEHIND THINKINGMACHINE

Different minds.
Common goals.

Build shared understanding while preserving everyone’s voice—including those who choose not to participate.

Explore the philosophy and research

As AI becomes part of business, understanding its capabilities is only part of the work. We also need to ask whose goals it serves, how decisions are made and who can change direction.

People should have meaningful influence over systems that affect them, regardless of technical expertise or whether they use AI themselves. Clear explanations and ways to question, refuse or correct decisions help make that influence real.

Our aim is practical cooperation: people and agents contributing different capabilities towards goals we can understand and review.

NEW INTERFACES, NEW PROFESSIONAL SKILLS

Bring business knowledge
into the workflow.

A conversational skill can help a colleague explain an outcome, clarify unfamiliar choices and prepare the inputs a complex process needs. Professional judgement shifts towards defining requirements, checking evidence and recognising exceptions.

EDI as a practical example.

A private MCP skill could guide partner onboarding through existing pipelines, credential custody, CMDB records and version control. The same context could later support monitoring, incident handling and CRM follow-up.

Trusted services enforce the rules. The assistant helps people navigate them.

Explore the EDI workflow concept

HUMANS + AGENTS, ONE WORKFLOW

Different capabilities.
A common direction.

One agent investigates. Another prepares a change. A person makes the decision. A shared project record keeps the goal, handoff and evidence connected.

See the OpenProject example
AN EXAMPLE SHARED WORK ITEM 01 / 04

Investigate a service issue

HUMAN

Define the outcome and approved scope.

AGENT

Inspect evidence. Record findings and uncertainty.

AGENT

Propose a bounded change and verification plan.

HUMAN

Review, decide and authorise the next step.

Illustrative workflow · project notes do not grant execution permission.

CONTROL IS PART OF THE DESIGN

Build trust into
the workflow.

Governance starts before the first automated action. Prompt ownership, scoped access and explicit decisions make a workflow easier to understand, improve and stop.

01 Version the prompt02 Bound the tools03 Review the evidence04 Keep people in control
Our approach to early governance

WORK WITH THE SYSTEMS YOU ALREADY USE

Connect the knowledge.
Keep the engineering discipline.

Engineering knowledge often sits across project records, runbooks, code and operational evidence. A useful workflow brings the relevant parts together so people can make a better-informed decision.

Start with a recurring task. Define what a good result looks like, connect only the tools it needs, and make the next step clear to everyone involved. That is where shared intelligence becomes practical.

Follow an engineering example

LET’S FIND YOUR FIRST WORKFLOW

Start with a real
engineering problem.

Start a conversation