Agentic workflow design
We redesign the end-to-end workflows in your organisation with AI agents. Everyone knows agents that speed up single tasks. The real gain sits in redesigning the whole workflow around AI.
We start with the outcome that matters and design the workflow that gets you there. Task by task, we decide where people are at their strongest and where an agent does the work better. Always within your own guidelines and guardrails.
Build agents, design workflows
Almost everyone uses AI as a sparring partner. A few already build agents. Almost no one redesigns the full workflow. That is exactly where a handy tool turns into real impact.
We raise the AI maturity of your teams. From prompting, to building agents at task level, to redesigning workflows, to an AI-driven organisation. We don’t make the current, complex workflow faster, but we shape a new way of working that is faster, better and smarter.
Designing on a blank canvas
With the desired outcome as the target, we redesign the workflow from scratch, free of today’s constraints. Only once the new workflow stands do we build the agents that carry it.
Built around people
A good AI workflow is mostly a people question, not a technology question. Together we surface the explicit and the implicit knowledge the work depends on, so the redesign holds up and sticks.
Start small, scale safely
We define per step what an agent may decide, what it may propose, and what stays with a person. You get a governance model that secures control and trust, in line with frameworks like the EU AI Act.
Three levels of agentic workflow design
- System. Many workflows sharing people, budget, data and customers.
→ This is where you align. - Workflows. One end-to-end flow with handovers, one trigger, one clear outcome.
→ This is where you design. - Tasks. One task of a few steps: input, logic, output. No handovers.
→ This is where you build.
How we design and build agentic workflows
We start with the outcomes, not technology. First the workflow and the desired result, then the people and the agents that serve it. The other way round, all you do is make the old process faster.
Map the workflow
We map your current workflow, from trigger to outcome. Resulting in a clear picture of where time and value leak away.
Redesign on a blank canvas
We redesign the workflow from the outcome you want, without the old handovers. You get a redesigned workflow, not an accelerated legacy process.
AI agents at task level
We build working agents per task that serve the new workflow. You get agents running in the organisation, not a prototype.
Governance per step
We set per step what an agent may decide, what it may propose, and what stays with a person. You get a governance model that secures control and trust.
Learning loops
We build measure-and-learn loops, so the agents keep getting smarter and the workflow keeps improving itself.
Agent and workflow strategy
A clear overview and prioritisation of your workflows, how they connect, and a concrete plan to get it all built.
Agentic workflow design in practice
AI that works for people and for organisations
Human-centred, not technology-driven
A good AI workflow is largely a people question. Our rule of thumb: 70% people and organisation, 20% technology and data, 10% algorithm. We design the workflow together with your teams, because without their expertise you get workflows that don’t perform.
Designed for adoption
People don’t adopt AI features, they adopt better work. We design workflows people understand, trust and actually use, with human oversight where it counts.
Partner from start to finish
From the first agent to a redesigned system. We don’t deliver a report, we deliver something that works and keeps working, and we build the capability so your team can carry it on.
Three ways to start with agentic workflow design
AI agent build workshop
Everyone on your team learns to build agents in a day.
Workflow validation sprint
Map your current workflows and improve a cluster of tasks.
Agentic workflow design
One working, redesigned end-to-end workflow in a matter of weeks.
Ready to redesign your workflows?
Start the conversation about agents, workflows and better outcomes.
Frequently asked questions about agentic workflow design
Agentic workflow design is redesigning a work process so AI agents and people work together to deliver an outcome. You don’t automate a single task, you redesign the entire flow from trigger to outcome on a blank canvas. That is the difference with AI automation: automation makes the old process faster, we make it better. Governance and a learning loops are built in.
It depends on the scope, but every step delivers concrete outcomes. An agent build workshop ends with working agents in a single session. Going from blank canvas to a first working workflow takes a few weeks. In a partnership, we map, prioritise and improve workflows with a clear rhythm.
Alongside your team, not instead of it. We involve your people, so we can use their expertise and knowledge, explicit and implicit, and build together. Leading to a workflow that delivers, that people will actually use, and a team with the skill to keep building.
Yes. We design around your existing systems and data, and pick the right model per task. More important than the technology is that agents can reach the right data: anything locked in inboxes, slides or people’s heads is hard to use, so we handle that in the design.
We build AI agents that run in your real work. We do use PoC to explore and prove things work, but the end goal is a working agent at task level that delivers value immediately and that you expand from there.
A far more efficient organisation. Less waste between teams, shorter lead times and a workflow that keeps learning. The gain sits in a redesigned workflow where people and agents move faster from data to decision to execution. Most important: we agree upfront what we measure, so the value is demonstrable.