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Agentic AI · UiPath
AI agents that answer questions and do the work
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.
88% of companies are piloting or have deployed AI agents (KPMG Quarterly Pulse, 4Q 2025). What remains is how to deploy them safely and with a return you can measure.
01. The agentic approach
Agents, robots and people in one process
Agentic orchestration connects agents, robots, systems and people in one safe, auditable process.
Agents
They understand context and unstructured data, plan next steps and know when to ask a human.
Robots
They execute tasks in SAP and other systems precisely: repeatably, fast and 24/7.
People
They decide wherever judgement is needed. Every agent action waits for their approval.
02 · The scenario library
15 scenarios: 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.
Faster revenue realisation, lower DSO, full auditability of every decision.
The dispute is closed before anyone escalates it The invoice-dispute agentResolutions in hours, fewer “just in case” write-offs, better supplier relationships.
From 21 days to 24 hours B2B client onboarding / KYCTime-to-revenue from weeks to days; no lost applications; every check leaves a trail.
A production failure fixed in 17 minutes The production incident, end-to-endShorter MTTR, less downtime, every failure with a complete history.
One question asked in Teams and Microsoft 365 Executive assistant 2.0: Teams + Microsoft 365 CopilotAnswers in seconds, one version of the truth, FP&A back to analysis.
HR stops being a call centre The HR agent: employee self-service on TeamsA one-second answer; HR wins back time for recruiting and development.
Half your tickets do not need an engineer The IT helpdesk agent: level one, 24/7Resolution in minutes; engineers return to project work.
The quote goes out on the day of the meeting The sales assistant: the quote and the pre-meeting briefThe quote reaches the customer the same day; ~1/3 of team time returns to selling.
CMR data reaches the office before the driver returns Digital CMR and POD: from photo to settlementInvoicing on the day of delivery, lower DSO, proof of delivery on demand.
Contract dates and clauses under constant watch The intelligent contract register: dates, clauses, alertsRenewals only by decision; clauses and obligations visible at once.
Customers wait less for an answer The complaints agent: answers within hoursFirst response in hours; the team handles contested cases.
Automation that does not call you at night Healing Agent and AMS: a stable robot portfolioProcess continuity, fewer night alarms; a predictable maintenance cost.
“That system cannot be automated” UI Agent: automation without APIs1,200 bookings a month with no clicking; people handle exceptions only.
The tests that never finish before go-live Agentic regression testing: SAP checked every night4× the coverage with less effort; fewer post-release defects in production.
Measure the processes first, then automate The process X-ray: KYP.ai + Process Mining in 4 weeksA 14-process map with numbers, a top 5 by return, a 12-month pipeline.
The library also has 25 solutions with AI agents, described as an implementation plan with a value model.
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
The executive assistant on Microsoft Teams
Ask your company's data questions as you would an analyst: answers in seconds, a pre-meeting brief, actions once you 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 our other automation projects.
- 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
AI agents feature in solutions for these industries: Manufacturing & industry (20), Professional services & IT (18), Shared services (GBS/SSC) (14), Retail & FMCG (9), Transport & logistics (4), Public sector (4). AI agents also work for a client: AI agents in data operations (in brief).
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.
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