Agentic AI
built for measurable business impact
What is agentic AI?
Agentic AI is software that doesn’t just answer questions but completes tasks: it reads your inbox, updates your CRM, drafts the follow-up, and knows when to ask a human before acting. Where a chatbot ends with a reply, an agent ends with work done.
The practical difference for your operations: one well-scoped agent typically replaces a repetitive workflow end to end, instead of shaving minutes off each step.
The AI investment dilemma
Margin pressure
Operations, marketing, and finance teams are stretched thin, but adding headcount isn't an option.
Technology fatigue
Past "transformation" projects promised big returns but delivered expensive complexity and vendor lock-in.
FOMO vs. ROI tension
You need to act on AI before competitors do, but most AI projects lack clear business cases or measurable outcomes.
Most AI projects fail today (95%, according to the 2025 MIT report on AI in business).
Not because the technology doesn’t work, but because implementations are overcomplicated, misaligned with business goals, and take too long to show results.
We’ve completed over 400 data and AI projects since 2015, working with organizations across banking, insurance, manufacturing, and public sector. Our approach is built around one principle: pragmatic AI that delivers measurable results in weeks, not theoretical innovation that takes years.
Seriously skilled.
We deploy on the platforms our clients already trust, including Dify, MistralAI, Claude, Microsoft Copilot Studio, and OpenAI's agents.
We also build custom agents from scratch when off-the-shelf platforms don't fit.
Platform choice is driven by your stack and constraints, not licensing fees.
How we deliver AI agents in Belgium & beyond:
fast cycles, real results.
12-week delivery cycles.
400+ completed projects.
Discover
Identify high-impact use cases where AI agents and automation pay for themselves.
No theoretical exercises: we focus on problems that affect your margins, speed, or quality.
Prototype
Build working MVPs using the right technology for your environment.
We're platform-agnostic. Whatever fits your infrastructure and team capabilities.
Scale
Deploy with governance, documentation, and knowledge transfer.
Your team owns the solution.
Your IP stays yours.
We’re independent, self-funded, and technology-agnostic. We transfer knowledge and IP to your teams, not create dependencies.
Where agents pay off first
We see agents deliver fastest in four places.
Document-heavy processes: claims, invoices, contracts, tenders. An agent extracts, checks, and routes; people handle exceptions.
Customer follow-up: quotes chased, dormant accounts revived, meeting notes turned into CRM records the same day.
Reporting: agents assemble the weekly numbers from your existing tools instead of someone copy-pasting between them.
Research and monitoring: market intelligence, competitor moves, tender alerts, delivered as briefs instead of browser tabs.
If your use case is not in this list, that is what the opportunity mapping meeting is for.
Use cases: what's in it for you
Behind these outcomes are six agent patterns, each suited to a different kind of work. These are the ones we deploy most often across our Belgian and European projects.
Research agents
Continuously monitor external sources (competitor sites, news, regulatory feeds, social channels) and surface what's relevant to your business. Replace ad-hoc scanning with a structured weekly signal your teams can act on.
Knowledge agents
Read long-form documents (policies, contracts, regulations, applications) and turn them into structured, queryable knowledge. Agents extract what matters and stay current as new documents arrive.
Process agents
Execute repetitive, multi-step business processes end-to-end (invoice approval, claim handling, mailbox triage). They read the input, apply your rules, write to your systems, and escalate edge cases. Cuts manual handling and leaves an audit trail.
Coordination agents
Orchestrate work across people and tools: pull status from project systems, draft updates, prompt the right person at the right time. Frees teams and accelerates cycle times on complex projects.
Analytics agents
Replace static dashboards with conversational analytics. Operational managers ask questions in plain language and get answers from live data; no pivot tables, no SQL requests queued behind the BI team. For faster data-driven decisions.
Copilot agents
Embedded in the daily workflow of executives or knowledge workers, from drafting board updates to summarizing signals and prepping decisions. Helps senior leaders use AI directly in their work, not through the IT department.
Proven impact with industry leaders.
Frequently asked questions
How is this different from RPA?
RPA follows a fixed script and breaks when the screen changes. Agents work from goals and adapt: same intent, far less maintenance. Most of our agent projects replace or absorb an existing RPA estate.
What does a first agent project cost?
A scoped pilot runs weeks, not months, at a fixed price. You will know the business case before committing to production.
Is our data safe?
Agents run in your environment (Microsoft 365, Azure, or your cloud), under your access controls. Nothing trains on your data.