Agentic AI doesn’t just answer questions. It plans a task, works through the steps, and gets it done on its own. We help you turn the repetitive work in your business into a process that runs itself, from first idea to daily use.
Most companies already use AI to answer questions or draft content. Agentic AI goes further. It plans multi-step work, uses your tools and systems on its own, and sees a task through to the end, checking in with a person only where that matters.
CHATBOT
Answers a question when you ask it. A person still does the work that follows.
AGENT
Reads the incoming request, checks your systems, prepares the outcome, and hands off only the exception to a person.
Extract the relevant fields from invoices, contracts, forms, drawings, or emails, whatever the format.
Fill in and update records directly in your ERP, CRM, or internal tools, no manual copy-paste.
Approve, flag, or escalate a case based on the criteria you define, consistently, every time.
Look something up in one system, check it against another, and complete the action in a third.
Pick up a new email, order, or ticket the moment it arrives and start the process automatically.
Notify the right person, ask for approval, or hand off the exception, so nothing happens unsupervised where it shouldn’t.
Work that took half a day happens in minutes, while your team moves on to the next thing.
The same steps, correctly, every time. No fatigue, no shortcuts under deadline pressure.
Agents don’t wait for office hours. Requests get handled nights, weekends, and everything in between.
Less time on repetitive steps means more time for the judgment calls that actually need a person.
Most organisations aren’t short on AI experiments. They’re short on AI that runs, unsupervised, every single day.
of companies already use AI in at least one part of the business
McKinsey, 2025
have scaled an AI agent far enough to deliver measurable value
McKinsey, 2026
of enterprise applications will include task-specific AI agents by end of 2026
Gartner
Every one of these starts small, proves value on one process, and expands from there. That’s deliberate: agentic AI works best as a series of contained wins, not one big transformation project.
Manual document processing eats your team’s time. We build agents that read, classify, and route documents automatically, with a person checking only the exceptions.
Slow, inconsistent quotes lose deals. We build agents that pull the right data, apply your pricing logic, and prepare a quote automatically.
Support tickets pile up before the right person sees them. We build agents that categorise and route incoming requests instantly, day or night.
Good decisions get delayed because data lives in five systems. We build agents that connect those systems and surface exactly what a person needs to decide.
We help you brainstorm and pinpoint the use cases that fit your business, then check that the underlying data is ready. Most AI initiatives fail because the problem was unclear or the data wasn’t reliable, not because the model was weak.
We build a proof of concept that runs one clearly scoped part of your business from start to finish. Not a demo that only works on stage. A working solution you can watch handle real cases, with a person stepping in wherever a decision carries risk.
Once value is proven, we integrate the agent into your existing systems and processes, then move on to the next use case.
Not concepts. Not demos. Systems that took over a real process and are still running it.
Creyten
Tax / legal
An AI research assistant for Belgian tax law, built on Fisconetplus. Tax lawyers and advisors get precise, sourced answers in seconds instead of spending hours searching legal databases. Creyten is also Acumen’s own product, live in production today.
Manufacturing client
Industry
An automated pipeline that interprets incoming technical input and matches it to the right options from a large catalogue, with a feedback loop that keeps improving accuracy over time. Work that used to be manual now runs automatically.
Global materials group
Industry / procurement
A multi-agent buying assistant integrated with SAP Ariba, ServiceNow, and internal procurement policy. It guides employees to the right purchasing channel conversationally, cutting policy violations and rework.
We match the technology to the problem. An agent only earns its place if it’s genuinely the right tool for the job.
We start with one process, prove it, then expand. No big-bang transformation projects, no all-or-nothing bets.
Data engineers, ML engineers, and AI consultants under one roof. We take a use case from first idea to running in production, not just a proof of concept.
LangChain, Databricks, IBM watsonx Orchestrate, or Microsoft Foundry on Azure. We build on whatever fits the systems you already run.
We check that your data is ready before we build, and tell you upfront if there’s a gap. Getting this right early is the cheapest, and most decisive, part of a successful project.
A person stays in the loop wherever a decision carries real risk. Agents handle the repetitive work and escalate anything outside their rules, so you keep full oversight.
We build a working version on one process first and prove the value fast. You see a real result before committing to a bigger rollout.
Start with a 30-minute call. We’ll look at where agentic AI fits in your business, no preparation needed. Prefer something more structured? Our AI Ideation Workshop helps your team surface the right use cases in a single session.
