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Most people know AI can save time. Few know where.

We go through your production, find the moments where AI actually helps and build agents that take care of them. You get the hours back — and a figure you can show.

Book a free consultation See the presentation
57%of work hours could in theory be automated with technology that already exists (McKinsey, 2025)
90 daysfrom mapping to documented return
14 questionsin the assessment that shows where the time goes
What we do

From mapping to an agent in production

We do not sell technology. We find where time disappears in your business and build it away.

01

Mapping your working day

We review how the work is actually done in the teams — not how the process map says it should be done.

  • Where you spend the most time on repetitive work
  • Which processes can be automated safely
  • Which ones need human oversight
02

Building AI agents

We put the highest-impact agents into production first, connected to the systems you already use.

  • Clear logic, triggers and tool integrations
  • Human oversight where it is needed
  • No IT department required on your side
03

Measuring and scaling

We follow up the time saved and expand as the organisation becomes comfortable with the technology.

  • Tracking of hours and costs saved
  • Training for the team
  • Roadmap for year two
Presentation

From manual work to autonomous agents

Twelve slides on the problem, six typical examples from different industries, our method and what you can expect. Use the arrows below the slide, click it or swipe.

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AI STRATEGY AND IMPLEMENTATION
From manual work
to autonomous agents.

How forward-looking companies remove repetitive work and free up hours of productivity every week.

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THE PROBLEM

Your team is too skilled for this.

Every day, skilled people spend hours on work that should never require a human brain.

The cost is invisible.
Hiring more people is not the answer.
Copying data between systems all day
Chasing approvals in long email threads
Reformatting spreadsheets by hand
Looking up the same information again and again
Writing the same kind of message 40 times a week
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57%

of work hours could in theory be automated

with technology that already exists – not tomorrow’s.

McKinsey Global InstituteAgents, robots, and us · 2025 · US work hours
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TYPICAL EXAMPLE
Wholesale distributor

Automated order handling

Four inside sales reps receive around 1,000 orders a week by email in varying formats. Each order is read and registered manually in the ERP system, which takes 4–6 minutes per order.

RESULT

85% of orders are handled with no human involvement. Each rep saves around 3.5 hours a day.

85%with no manual work
3.5 hsaved per salesperson and day
THE AI AGENT
1
Reads incoming order emails automatically
2
Extracts product codes, quantities and delivery addresses
3
Checks stock levels against the ERP system
4
Creates the order or flags exceptions for human review
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TYPICAL EXAMPLE
SaaS company – 150 employees

Customer support triage

The support inbox receives 600 tickets a week. Staff read, categorise, prioritise and assign each one manually before they even start solving the problem.

RESULT

Time to first reply falls from 4 hours to 8 minutes. The team resolves 35% more tickets a week.

8 mintime to first reply, from 4 h
+35%tickets resolved per week
THE AI AGENT
1
Reads every incoming support ticket
2
Classifies by problem type, urgency and product area
3
Routes the ticket to the right team with a suggested reply
4
Escalates VIP customers and those at high churn risk automatically
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TYPICAL EXAMPLE
Mid-sized logistics company

Invoice handling

The finance team handles over 400 supplier invoices a month. Each invoice is checked manually against a purchase order, approved, coded and registered in the finance system.

RESULT

80 hours are saved every month. Posting errors fall by 70%.

80 hsaved per month
−70%posting errors
THE AI AGENT
1
Extracts invoice data from PDFs and email attachments
2
Matches automatically against open purchase orders
3
Flags discrepancies for human review
4
Posts approved invoices straight into the finance system
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TYPICAL EXAMPLE
B2B sales team – 30 reps

CRM and sales admin

After every call and meeting, reps spend 20–30 minutes updating the CRM and writing follow-ups. With five meetings a day, that is up to two and a half hours of admin per rep per day.

RESULT

Reps get around 1.5 hours back every day – all that is left is to review and send. The share of fully documented meetings in the CRM rises by 60%.

1.5 hback per rep per day
+60%fully documented meetings
THE AI AGENT
1
Listens to or reads transcripts of sales calls
2
Extracts action points, next steps and deal updates
3
Updates the CRM automatically
4
Drafts a follow-up email the rep can review and send in one click
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TYPICAL EXAMPLE
HR department – 500+ employees

Automated onboarding

Every new hire triggers over 20 manual steps across six different systems. HR managers spend 8–10 hours per hire on accounts, documents and scheduling alone.

RESULT

HR admin time per new hire drops from 8–10 hours to 45 minutes. The HR team handles three times as many hires with no extra staff.

45 minHR time per hire, from 8–10 h
3×more hires
THE AI AGENT
1
Creates accounts in every system automatically from day one
2
Sends welcome emails and personal onboarding schedules
3
Assigns training and compliance tasks by role
4
Collects signed documents through automated workflows
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TYPICAL EXAMPLE
Legal and procurement team

Contract review and data extraction

Lawyers and procurement managers review over 50 contracts a month to find key clauses, risks and non-standard terms. Each document takes 2–3 hours to handle manually.

RESULT

Review time falls from 2.5 hours to 12 minutes per contract. 55% more non-standard terms are caught before signing.

12 minper contract, from 2.5 h
+55%more deviations caught
THE AI AGENT
1
Reads and analyses uploaded contracts automatically
2
Extracts key clauses, deadlines and obligations into a structured summary
3
Flags non-standard terms and potential liability risks
4
Produces a one-page review brief for human sign-off
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OUR METHOD

From insight to automation in four steps.

01
Map

We run our Agentic Readiness Assessment across your teams to find bottlenecks and automation opportunities.

02
Design

We design specific AI agents with clear logic, triggers and tool integrations fitted to your systems.

03
Build

We put the highest-impact agents into production first, with human oversight for safety and visibility.

04
Scale

We expand, follow up and train the team as AI use grows across the organisation.

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THE PLATFORM

Find out your Agentic Readiness Score.

Our 14-question assessment shows exactly where AI can do the most good – in any language, for the whole team.

The report shows where the team loses the most time on repetitive work, which processes can be automated safely, which need human oversight, which AI agents can deliver a return within 30 days, and which risks around sensitive data should be handled first.

HOW IT WORKS
01
Share the survey link with the team
02
Collect responses in any language
03
Click Analyse to generate the AI report
04
Get a prioritised action plan
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WHAT YOU CAN EXPECT

Typical results within 90 days.

You don’t need your own IT department – we handle the integration with your existing systems.

Weeks 1–3
Assessment complete
The five biggest opportunities for AI agents have been identified and prioritised.
Weeks 4–6
First agent live
The highest-impact agent has gone live with clear control mechanisms.
Weeks 7–12
3–5 agents live
Measurable time savings are tracked and the team is up and running.
Day 90
Returns documented
A full roadmap for year two is in place and the team is trained and confident.

The examples show typical engagements. The figures are illustrative, not guaranteed results – the assessment shows what you can save. The left and right arrow keys work too.

Would you like the same walkthrough adapted to your business? Book a call
Contact

Tell us what you want to solve

Briefly describe where you think the time goes. We will get back to you within 24 hours with a proposal for the next step — with no obligation.

Send an email To the contact form