Home · Agentic solutions

Agentic AI · UiPath

AI agents that work like your best team

You ask a question on Microsoft Teams. The agent understands, reaches the data and triggers UiPath robots, and you get the answer and the finished work. With permissions, guardrails and a full audit trail.

Request a demo Case study: the executive assistant

88% of companies are piloting or have deployed AI agents (KPMG Quarterly Pulse, 4Q 2025). The question isn't “whether”, it's “how”: safely, and with a real return.

01 · The agentic approach

Agents think. Robots do. People lead.

Agentic orchestration binds agents, robots, systems and people into one safe, auditable process instead of a collection of disconnected AI experiments.

Agents think

They understand context and unstructured data, plan next steps and know when to ask a human.

Robots do

They execute tasks in SAP and other systems precisely: repeatably, fast and 24/7.

People lead

They decide wherever judgement is needed. Every agent action waits for their approval.

02 · The case study library

15 processes that stopped waiting for people

Each study is the full picture: the before, the hidden costs, a value model with a calculator, and the rollout plan. The scenarios are illustrative, built so you can re-run them on your own numbers.

Cash does not wait for Monday The Order-to-Cash control tower

Faster revenue realisation, lower DSO, full auditability of every decision.

FinanceOperations

The dispute is closed before anyone escalates it The invoice-dispute agent

Resolutions in hours, fewer “peace-of-mind” write-offs, better supplier relationships.

Finance

From 21 days to 24 hours B2B client onboarding / KYC

Time-to-revenue from weeks to days; zero lost applications; full compliance.

Sales & customersFinance

Alarm at 2:14. Resolved by 2:31. The production incident, end-to-end

Shorter MTTR, less downtime, every failure with a complete history.

Operations

One question. Every tool you work in. Executive assistant 2.0: Teams + Microsoft 365 Copilot

Seconds instead of days, one version of the truth, FP&A back to analysis.

Finance

HR stops being a call centre The HR agent: employee self-service on Teams

A one-second answer instead of days; HR wins back time for recruiting and development.

Employee self-service

Half your tickets do not need an engineer The IT helpdesk agent: level one, 24/7

Resolution in minutes instead of hours; engineers return to project work.

Employee self-serviceIT & quality

Whoever quotes first leads the conversation The sales assistant: the quote and the pre-meeting brief

The quote reaches the customer the same day; ~1/3 of team time returns to selling.

Sales & customers

The paper rides in the cab. The data is already home. Digital CMR and POD: from photo to settlement

Invoicing on the day of delivery, lower DSO, proof of delivery on demand.

OperationsFinance

Nobody reads contracts after signing The intelligent contract register: dates, clauses, alerts

No more unwanted renewals; clauses and obligations visible at once.

Finance

Customers forget the price. They remember the wait. The complaints agent: answers in hours, not days

First response in hours; the team handles genuinely contested cases.

Sales & customersOperations

Automation that does not call you at night Healing Agent and AMS: a stable robot portfolio

Process continuity instead of night alarms; a predictable maintenance cost.

IT & quality

“That system cannot be automated” UI Agent: automation without APIs

1,200 bookings a month with no clicking; people handle exceptions only.

IT & qualityOperations

The tests that never finish before go-live Agentic regression testing: SAP checked every night

4× the coverage with less effort; releases stop breaking production.

IT & quality

Before you automate anything, measure everything The process X-ray: KYP.ai + Process Mining in 4 weeks

A 14-process map with numbers, a top 5 by return, a 12-month pipeline.

FinanceOperations

Illustrative examples based on real implementations and pilots: the values are models to price on your data, not promises. Client references are anonymised.

03 · Conversational agents

The agents you talk to on Teams

Flagship case study

The executive assistant on Microsoft Teams

Talk to your company's data like your best analyst: answers in seconds, a pre-meeting brief, actions on your OK.

Read it

The morning executive brief, daily at 7:00The board starts the day with the full picture, before anyone has to ask for it. The month-end close agentA close that's days shorter, because someone finally watches it around the clock. The receivables agent: cash comes back soonerIt prioritises, writes, escalates and proposes decisions. You just approve.

Illustrative examples based on real implementations and pilots: the values are models to price on your data, not promises. Client references are anonymised.

04 · Full control

No black box

We deploy agents within UiPath orchestration, with the same security standards we apply in automations for market leaders.

Guardrails: the agent does exactly what it should
Observability: every step visible and measurable
Human-in-the-loop: actions with human approval
Permissions and data controlled by your IT
A full audit trail from question to action

See the agents in action

A 15-minute demo on your examples. We'll show where to start so the return is fast and measurable.

Book a demo