Many ideas, few choices
Workshops create more opportunities, but rarely sharper priorities. After the session there is mostly more to discuss.
Ready for the next step with AI? Start where the work actually happens.
A practical scan of one process, one department or your operating model. In two to four weeks, you know which step creates value first.
Many organisations have enough AI ideas. The question is where to begin properly. We observe the work, run focused conversations and use AI to make patterns visible faster. You receive an improvement plan that helps you decide which step to take first.
30 minutes with a BPC partner. No preparation needed.
After the scan, you can decide
01
Where to start
Which part of the work creates the most value with the least noise
02
What to tackle
Which agent, workflow or process step makes sense first
03
Who is needed
Which roles, data and decisions are needed for execution
Sound familiar?
AI is on every agenda. Execution often lags behind.
Most organisations do not lack ambition. They lack clarity on where AI truly improves the work and who should take the next step.
Pilots without ownership
Something was tested, often with real enthusiasm. Yet no one owns the step toward daily use.
Processes hide invisible work
People search, check, copy, repair and wait. That is where agents and better collaboration can create room.
IT and business move at different speeds
The business wants speed. IT protects the stack, data and security. Without a shared route, AI gets stuck between ambition and reality.
What good looks like
AI only works when you first know what good work looks like.
The scan makes visible how experienced people make choices, where judgement is needed and which logic an agent or workflow would need to follow.
01
Follow the work
We look beyond the process on paper. We follow how people really work, where they deviate and which signals they use to make good decisions.
02
Make the logic explicit
What now sits in heads, habits and exceptions becomes discussable: steps, decision rules, handovers, risks and quality standards.
03
Then build
An agent only becomes useful once it is clear what it should prepare, check or execute, and when a person needs to decide.
What you get
After the scan, you know what to do, why it makes sense and how to start.
The scan is for leaders who want to move past loose ideas. You get a choice you can explain, fund and execute.
Discuss your situationYou see where time and quality leak away
We make visible where work slows down, handovers fail and people spend too much time on manual work.
You get an executable AI priority
We determine which opportunity has enough value, is feasible within your stack and fits how people work.
You know which role agents can take
We clarify which tasks suit agents, where human judgement remains essential and what collaboration can look like.
You can make faster internal decisions
The improvement plan helps leadership, operations, IT and process owners discuss the same next step.
Go deeper by context
Do you work in a specific environment?
The core of the scan stays the same. The recognisable pain points differ by organisation type. That is why we created two deeper pages.
How we work
Low effort for your organisation. Deep insight into the work.
No abstract AI workshop. We look at how the work really flows, which judgement people use along the way and where AI can help without flattening the work.
Stap 1
Focused intake
We start with the context: goals, scope, systems, teams involved and where pressure or growing pains appear.
Stap 2
Interviews with people who know the work
We speak with process owners, team leads and employees. Our interview agent helps capture conversations more sharply and organise follow-up questions.
Stap 3
Observing the work
We look over the shoulder within the chosen scope. The employee uses their own system. BPC does not need its own system access.
Stap 4
Reconstruction and pattern recognition
We bring together steps, handovers, exceptions and recurring actions. AI helps organise. Our consultants decide what it means.
Beyond agent building
The demo is not the hard part. Making AI work responsibly is.
This is where BPC is different. The scan goes beyond technical feasibility. We also look at what happens when usage grows, data moves through systems and people rely on AI every day.
Data and processing
Which data does the solution use, where does that data go, what is logged and what agreements are needed on training, storage and access?
Compliance and AI Act
We map which governance, documentation, human oversight and risk assessment may be needed. When legal judgement is required, we make that explicit.
Works council and organisation
If AI touches work processes, monitoring or task allocation, involvement from the works council, HR, privacy and security may be needed. We include that in the decision plan.
Cost at real adoption
A demo can be built quickly. We also look at inference volume, per-token costs, private AI, Volentis or hyperscaler choices as usage grows.
Choose your entry point
Start small or look wider. The scope follows your question.
The Opportunity Scan is one proposition with three entry points. You choose the size that fits urgency, budget and decision making.
Narrow and fast
One process
Duration
about 2 weeks
Indication
€3,500 - €4,500
Best for: a concrete bottleneck, a clear owner and the need for fast proof.
Outcome: one sharp opportunity with a practical improvement plan.
Most chosen
One department
Duration
about 3 weeks
Indication
€6,000 - €8,500
Best for: teams where multiple processes, systems and roles touch each other.
Outcome: a prioritised set of measures and a first AI build candidate.
Strategic
Operating model
Duration
about 4 weeks
Indication
€10,000 - €15,000
Best for: leadership teams that want to know how people, processes and agents will work together.
Outcome: a roadmap for the new role split, including priorities for build and governance.
What you get
An improvement plan that makes execution easier.
The output is not an inspiration report. It is a decision document that shows what is happening, where the value sits and which step makes sense.
Recognisable work analysis
A reconstruction of the chosen scope, including friction, handovers, waiting time, manual work and quality risks.
Prioritised opportunities with earning potential
A handful of concrete opportunities, assessed on feasibility, data quality, organisational impact and fit with your stack, each with an indication of expected return and the effort required. You see what it returns, not only what is possible.
Why it has not happened yet
For each opportunity we name the real blocker (capability, ownership, politics or data) and what it takes to remove it. That is what makes an opportunity executable.
Decision logic for people and agents
A clear view of which tasks are suitable for AI agents, which stay with people and where control or ownership is needed.
90-day next step
A practical plan for the first build or improvement step, including roles, dependencies and decisions.
Why BPC
We look at AI through the work, the stack and the operating model.
BPC combines twenty years of transformation experience with building working AI solutions. That keeps the work close to execution.
Execution experience
We know the reality of HR, finance, operations, manufacturing and professional services. That is where AI either helps or does not.
Build after the scan
The scan ends with a next step we can also execute. From agent to governance and adoption.
Fit with your stack
Microsoft, Google, AWS, Volentis or private AI. The choice follows your systems, data and constraints.
FAQ
What you probably want to know
Who is the Opportunity Scan for?
For organisations already exploring AI, but looking for a sharper view of where AI creates real value in the work. Buyers are often in leadership, operations, business, IT or management roles.
Do our people need to free up a lot of time?
No. We plan focused conversations and observations. BPC does the analysis and keeps the load for your teams low.
Does BPC get access to our systems?
Not by default. During observation we look over the shoulder and the employee uses their own system. We only use additional observation methods with explicit permission and within clear agreements on scope, privacy and security.
What happens after the scan?
You have a concrete improvement plan with priorities, a first next step and the decisions needed to move forward. That can lead to an AI-Agent Build & Run track, an operating-model step or another targeted improvement.
The next step
Want to know where AI should really start in your organisation?
In 30 minutes, we determine whether one process, one department or a broader scan is the right start. No preparation needed.
A practical conversation with one of our partners. No obligation.