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Industry · Services

AI agents for professional, IT and shared services

In a services business, the product is people's time, and a good share of it goes into work nobody bills: checking new clients, assembling proposals, chasing timesheets, answering the same service-desk questions. AI agents can take that work on. Infosistema connects them to your client, project and finance systems so the hours go back to client work.

At a glance

  • Infosistema connects AI agents to the CRM, project, timesheet, finance and service-desk systems of professional services firms, IT service providers and shared-service centres.
  • Typical first processes are new-client onboarding checks, proposal and tender preparation, timesheet-to-invoice checks, service-desk requests and supplier or subcontractor contract renewals.
  • Every engagement starts with a three-week analysis sprint that ends in a decision per process, and every agent starts in shadow or supervised mode.
  • For services firms that build on OutSystems, Infosistema's DMM is used by IT providers such as Devoteam and Headfitted to move data between environments.
  • Infosistema migrated the finance and accounting back-office applications of the Joyn Group shared services with DMM, inside a one-day downtime window.

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Where do AI agents fit in a services firm?

In the work around the client work: the checks, documents and follow-ups that every engagement needs and that take senior time. The 5 processes below are the usual starting points.

New-client onboarding checks

The agent gathers the company data a new client file needs (status, registered address, beneficial owners, tax and Social Security position), checks for conflicts against your client list and opens the record.

  • Stays with people: acceptance of the client and any conflict the agent finds.
  • Systems: CRM, practice or ERP system, bizAPIs for official Portuguese company data.

Proposals and tender responses

The agent reads the request for proposal, builds the compliance checklist, finds similar past proposals, CVs and case references, and drafts the sections your team then rewrites.

  • Stays with people: the approach, the price and every commitment in the final document.
  • Systems: document repository, CRM, past proposals and CV library.

Timesheets to invoices

The agent checks timesheets against the engagement letter, the budget and the billing rules, chases what's missing and prepares the draft invoice with the exceptions marked.

  • Stays with people: write-offs, discounts and invoices that need a partner's sign-off.
  • Systems: timesheet and project system, ERP, CRM.

Service-desk and shared-service requests

The agent answers routine requests from clients or internal teams (access, status, documents, standard changes), acts in the systems it has permission for and escalates the rest with context.

  • Stays with people: changes outside the standard catalogue and anything urgent.
  • Systems: ticketing, identity and access, knowledge base.

Subcontractor and supplier contracts

The agent finds subcontracting, software and lease contracts in inboxes and drives, extracts the dates and renewal terms and warns before each renewal.

  • Stays with people: keep, renegotiate or cancel.
  • Systems: email, Google Drive, ERP; bizSupply does this as a product.

What makes agents hard to run in a services firm?

Client confidentiality, many small processes and partners who'll judge every output.

  • Confidentiality. Client data can't leak between engagements or into a model's training. Agents get scoped access per client and run on models and regions you approve.
  • Quality bar. A draft proposal or invoice that needs heavy rework saves nothing. That's why the sprint measures a baseline first and every agent starts supervised.
  • EU AI Act transparency. When an agent talks to your clients, they must be told they're dealing with an AI system.
  • Fragmented tools. Practice, project and finance systems rarely share data. Integration is usually most of the build.

How does Infosistema start?

With a three-week analysis sprint on one area, for example client onboarding and billing for one practice.

  1. Week 1: map the processes, roles and systems, and short-list up to five candidates.
  2. Week 2: score each process for impact and readiness and analyse it step by step against a baseline measurement.
  3. Week 3: estimate build and monthly operation per agent, then recommend agent, agent with conditions, classic automation, or not yet.

Quick wins can start in supervised mode from week 2, built with the people who'll use them, and an AI Academy built with you turns that into a lasting programme to qualify your teams in agentic AI.

Which Infosistema products and partners help?

  • bizAPIs: official Portuguese company data as APIs, for client onboarding and supplier checks.
  • bizSupply: finds contracts in your mailbox and Google Drive, extracts the supplier, dates, value and renewal terms, and alerts 90, 60, 30 and 7 days before each renewal.
  • DMM and DMM-API: for IT service providers delivering OutSystems projects, data migration and anonymised test data between environments; DMM has a partner programme.
  • AI Academy: an academy we build with you to qualify your consultants and delivery teams in agentic AI.

What has Infosistema built for services companies?

  • Joyn Group shared services: the finance and accounting back-office applications moved to a new OutSystems platform, with data migration run inside a one-day downtime window.
  • Devoteam and Headfitted: IT service providers that use DMM on client projects, including a migration between the Singapore and Mumbai OutSystems data centres for a financial client.
  • Services clients on our clients page include Willis Towers Watson, SGS, ISQ, Informa D&B, Equifax, Softinsa and Ticket.

Frequently asked questions

Which tasks in a consulting or IT services firm can an AI agent take on?

Non-billable work with clear inputs: client onboarding checks, proposal and tender preparation, timesheet and billing checks, routine service-desk requests and contract renewals. The analysis sprint ranks them for your firm by impact and readiness, with a baseline for each.

How do you keep client data separate between engagements?

Each agent gets access scoped to the engagement or client it works on, and every action is logged. You approve the model providers, the regions and the contract terms, including whether any data may ever be used for training.

Will clients know when they're talking to an AI agent?

Yes. The EU AI Act requires it, and we design client-facing agents to say so.

Can you work with us as a partner rather than a supplier?

Yes. IT service providers already resell and deliver DMM through its partner programme, and in North America our partnership with Intellevate Solutions pairs Infosistema's products with their implementation team.

How much of our team's time will this free?

We measure it per process. The sprint sets a baseline for each candidate, and every agent in production is reported monthly against that baseline: volume handled, quality, exceptions and cost per completed task.

Let's put AI to work in your services business

Tell us which process you'd like to look at first, and we'll reply within 1 business day.

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