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AI & Automation

Agents that answer, processes that run themselves

Two fronts that almost always travel together: an agent that responds and resolves on the customer's side, and automation behind it moving information between your systems with no manual step.

AI Agents

Assistants that do the work, not just describe it

A useful agent needs three things: controlled access to your systems, clear rules about what it may and may not do, and a record of everything it executed. We build all three.

  • Answers common questions using real data from your operation, not generic replies
  • Looks up orders, stock, account balances and schedules inside your own systems
  • Executes bounded tasks: open a ticket, book an appointment, update a record
  • Escalates to a person with the full conversation context attached
  • Explicit limits: what data it may read, what actions it may run, what it must confirm
  • Auditable log of every query and every action taken
Channels
WhatsApp · Web · Voice · Email
Connectivity
REST APIs · Webhooks · Database
Control
Per-action permissions · Audit log
Fallback
Human handoff with context

Automation

Repetitive work should run itself

Copying data between systems, rebuilding the same report every Monday, chasing approvals over email. That work burns the hours of capable people, and it is where the errors come from.

  • Approval flows with rules, deadlines and automatic reminders
  • Reconciliation between systems that do not currently talk to each other
  • Scheduled reports delivered ready-made to email or the team chat
  • File loading and validation without manual data entry
  • Alerts when a metric moves outside its expected range
  • Documents generated from data: quotes, orders, minutes
Triggers
Schedule · Event · Form · Webhook
Validation
Business rules checked before execution
Visibility
Full history of every run
Failures
Retries and owner notification

How we work

Engineering, not demos

A proof of concept impresses in a meeting. What holds up an operation is something else: integration, permissions, monitoring and maintenance.

  1. 01

    We start with the process

    Before proposing technology we map how the work happens today, who is involved and where time is lost. Often the first improvement needs no AI at all.

  2. 02

    We measure before and after

    Together we define the number that matters — response time, cost per transaction, errors per batch — and track it from day one, so you know whether the solution worked.

  3. 03

    We build on what you have

    We do not ask you to replace your ERP or migrate everything to a new platform. We work with the systems already running your business.

  4. 04

    We deliver in stages

    The first working release lands in weeks, not quarters. Each stage goes to production and gets evaluated before the next one starts.

Sectors

Where we apply this

The problems change names from one industry to the next, but the pattern repeats: scattered information, manual work, and decisions made on yesterday's data.

  • Restaurants & retail

    Digital ordering channels, synchronised catalogues and automatic service during peak hours.

  • Logistics & distribution

    Shipment tracking, route assignment and real-time exception alerts.

  • Manufacturing

    Shop-floor data capture, batch control and production reporting without spreadsheets.

  • Professional services

    Scheduling, case tracking and automation of repetitive paperwork.

  • Healthcare

    Calendars, appointment reminders and consolidation of information across clinical systems.

  • Finance & insurance

    Document validation, customer query handling and transaction reconciliation.

Process

Three stages, no surprises

Every stage ends with something you can review: a document, a system in production, or a measured number. If something is not working, you find out early.

  1. 011 to 2 weeks

    Diagnosis

    We interview the people who run the process, review the systems and the data available, and rank the opportunities by impact and effort. You get a plan with scope, cost and a success criterion.

  2. 024 to 12 weeks

    Design & build

    We build in short cycles, integrated with your systems from the start. You see working progress every week, not a single delivery at the end.

  3. 03Ongoing

    Run & improve

    We monitor, fix and tune using real usage data. We train your team and document everything, so you can take over whenever you want.

Let's talk about one specific process

Bring the process that eats the most of your team's time. In a 30-minute conversation we will tell you whether AI or automation genuinely helps, what it would take, and what is not worth attempting.

Free, no commitment. If we do not see a clear case, we will say so.