We redesign how you work with AI, and help you put it into practice.
The human capability behind your AI transformation. Independent. Done with you. Owned by you.
Working in Dutch, English and French.
Start where it hurts.
"We want to lean into AI but don't know which agents to build."
"We've built workflows or agents, but the ROI isn't there."
"We want our people better at working alongside AI."
"AI is spreading across teams and no one really owns it."
"We're not sure how far to take AI, or where to start."
"Something else entirely."
AI tools are already in the business. The operating model is not.
Your people use AI every day. The way work is organised hasn't caught up, so the gains stay incremental and nobody is quite sure who owns what. Most companies bolt AI onto workflows that were already broken. We redesign how the work runs around AI, then stay to make it real.
Anyone can build AI now. Owning it is the hard part.
Generative AI and agents put building within reach of every function. A finance or HR team can stand up an agentic workflow with its own credentials, so the data team can no longer be the sole owner, and ownership has to be redistributed on purpose. Done deliberately, that is an operating model: the business owns the workflow and the value, IT runs the platform, risk owns the guardrails, HR owns skills and roles, leadership owns the ambition and the boundaries. Left to itself, it is shadow AI. If everyone owns it, no one does.
of companies capture AI value at scale. The difference is rarely the tools.
BCG, 2025of agentic AI projects are expected to be cancelled by 2027, most for missing operating-model foundations.
Gartner, 2025oversight of AI governance is among the factors most correlated with AI's impact on the bottom line.
McKinsey, 2025We redesign the work, build the system, and build the capability to run it.
How the work runs
The operating model around AI: which steps agents handle, where humans stay in the loop, who owns each decision, and what it costs.
The capability to run it
The human capability to direct agents, judge their output, own the decisions, and adopt new ways of working, so the redesign holds.
Designed and built, with your team
Platform and guardrails, agents as managed digital workers, and the business context they rely on. Built with your team, vendor-neutral, and handed over.
Measurement runs throughout, with a baseline from day one and value tracked to outcome. See how we work
Four moves per workflow.
Two questions run underneath every move. Where should AI sit in this work: automate it, keep a human in the loop, or keep it human-led? And given an AI output, how hard should you check it before acting? The answers are placed on purpose, step by step, not left to habit.
Map
Document the workflow as it runs today. Score every step on cost, time, and risk. Flag the steps that shouldn't exist. Set the baseline.
Redesign
Which steps agents handle, where a human stays in the loop, who owns each decision, where the checkpoint sits, and the autonomy level per step.
Enable
Build the team's capability to run it, with role playbooks and output checks they keep. Build the agents with them, not for them.
Measure
Metrics agreed up front, read before and after. The value is proven, not claimed, and you own the answer.
Every agent is a managed digital worker.
Not a person, not a script: a role with a named owner, permissions, performance metrics, an audit trail, an escalation path, a cost profile, and a kill switch. That turns an abstract governance conversation into a register your leaders can act on, and it answers the question every team eventually asks: who owns this?
How far you go is your call.
Not every company wants to take AI all the way, and that is the point. We calibrate the redesign to the ambition you choose and write down what you deliberately won't automate. The result is a stance your board can defend, not a demo.
Four muscles, not soft training.
A redesign only holds if the people running it can. So capability is part of the system we deliver, built inside the workflow, with playbooks your team keeps.
Direct
Brief, orchestrate, and redesign work around agents. Using AI well, not just prompting it.
Judge
Evaluate output, see where it fails, avoid overreliance. Critical thinking lives here: knowing how hard to check before you act.
Own
Decision rights, accountability, and cost. Who owns which agent, and who answers for its output.
Adopt
Change behaviour and ways of working so the redesign holds, rather than dying as a pilot.
Three ways in, low commitment to high.
Every engagement is fixed in scope and leaves working artifacts your team owns. Prices on request; the first step is designed so one sponsor can say yes.
AI Work Redesign Scan
The low-risk door. Your ambition, a current-state and context read, five to ten workflow opportunities scored, the gaps, and a 90-day plan. You leave knowing where to start and what not to automate.
AI Work Redesign Sprint
One real workflow redesigned end to end: agents placed, humans in the loop, owners named. Built with your team, measured against a baseline, and yours when we leave.
- For software, product and data teams: the AI SDLC Redesign Sprint, from intake to delivery.
AI Work Redesign Programme
The follow-on the Sprint earns. Several workflows plus the operating-model and capability work across a function or the organisation.
Six artifacts your team keeps.
Ambition statement
One page: how far this team goes with AI, and what it deliberately won't automate.
Baseline & opportunity map
The current workflow mapped and scored on cost, time, and risk, with where to start.
Redesigned blueprint
The to-be workflow, step by step: AI role, human role, control, decision rights, owner.
Agent spec & register
Per agent: purpose, owner, permissions, cost, kill switch, autonomy level, acceptance criteria.
Capability & playbooks
Your team trained to run it, with the role playbooks and output checks they keep.
Value & adoption plan
The agreed KPIs, baseline to target, and a 90-day tracking sheet with an owner.
Every deliverable is an artifact, not a slide of advice.
A before and an after, in numbers you agree up front.
When we leave, you own the result and can run the next one without us.
Teams already using AI that never redesigned the work.
Software, product & data teams
Already on AI coding and productivity tools, but delivery, review, testing, governance, and ownership were never redesigned around them. The impact is biggest and most measurable here.
Mid-sized companies and departments of larger groups
Enough complexity to have real workflow pain, some internal tech capability, AI already used informally, and a sponsor who can decide. Belgium and the Netherlands first.
Three filters, all three
AI is already entering real workflows. Nobody can name who owns the agent, the output, the cost. And one sponsor can start without a procurement marathon.
Also a fit: media and knowledge work, regulated professional workflows, operations-heavy industrials, and sector federations. Not sure? Take the 90-second check.
Five things the big firms won't say.
Workflow-first, not strategy-first
We start with one real workflow, not an enterprise-wide programme. Proof first, then scale.
Agent ownership as a signature
Each agent is a managed digital worker: an owner, permissions, a cost profile, a risk profile, a kill switch.
Capability as infrastructure
Direct, Judge, Own, Adopt is part of the redesigned system, not soft training bolted on afterwards.
Done-with-you build
We build with your team and transfer ownership. No dependency, no lock-in. When we leave, it's yours to run and extend.
Vendor-neutral
No model, platform, or tool of our own to resell, so we build on what's best for you and can tell you which demos are just wrappers.
Not a model or platform reseller. Not a generalist transformation group. Not a vendor of prompt training. We design how humans and machines work together, build it with you, and hand it over so it stays yours.
Senior in the room, not a bench behind a partner.
The person who scopes your engagement is the person who delivers it, end to end: the redesign, the capability building, and the measurement. No hand-off to a junior team after the pitch.
Sensemakers is an independent, Belgium-based firm with a background in data and AI strategy, business analysis, and adoption and change, built in media and telecom. We work in Dutch, English and French.
In six weeks: one workflow redesigned, measured, and owned by your team.
Tell us about one workflow that carries real cost, time, or risk. We'll show you what redesigning it around AI would look like, and whether you're ready for it.
hello@sensemakers.beWe listen
You walk us through the workflow and the pressure behind it. No pitch.
We test fit
A quick read on whether a redesign is the right move now, or whether you're too early. We'll say so either way.
We propose a start
If it fits: a Scan or a Sprint, with a clear scope and a number you can hold.