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AI AGENTS

Automate conversations, decisions, and workflows with human-like AI precision.

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IT WORKFORCE INTELLIGENCE

20-30% of the budget

for external resources in IT does not translate into productive work.

Workforce Intelligence shows where contractors, vendors and outsourced teams' time is really running out. No surveys. Without declarations. No black boxes. Up to 2.5M recoverable loss - which no report shows today.



4 weeks
From the first data
On-prem
data under your control
<6 months
return on investment
Gap in visibility

You pay for the availability of resources - not for their real contribution

Timesheets, Jira and story points give the illusion of control. They track statements and output, not workload. Remote work has removed natural visibility. Your organization today has no hard data to assess the ROI of external IT spending.

Unverifiable settlements

You pay for "available hours," not for "active contribution." Time reporting ≠ productivity.

Risk of moonlighting

Are you unknowingly co-financing your contractor's other customers?

Management fog

Remote work has removed the natural visibility of daily implementation. You don't know what's really going on.

Jira Theatre

Story points and tickets are easily manipulated. Current tools track output reports, not workload.

Supplier inflation

You are comparing rates, not value delivered per hour. There is no data to judge which provider gives the best ROI.

Benchmarks

What the market data shows

Benchmarks from IT organizations managing external resources show the same pattern - a significant portion of the budget does not translate into real work. Workforce Intelligence makes this visible.

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What does this solution provide?

Objective data on how external IT teams really work

Workforce Intelligence uses task mining to measure actual activity - no interference with the work model, no surveys, no dependence on declarations.

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Measuring actual working time

How much time in each application, how much in meetings, how much in context-switching, how much idle. Task-level data, not declarations.

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Ready-made management data

A hard basis to justify spending on external IT. Not "feelings" - numbers that can be shown to management.

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Potential for automation and optimization

An indication of which activities consume time and could be automated, simplified or eliminated.

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Identify waste and leakage

Advanced analytics identifies patterns: excessive meetings, working in the wrong tools, searching for information, unproductive interruptions - and shows where budgets are not working.

Group 3 (1)

Comparing vendors by real value

You compare the efficiency of vendors not by rates, but by actual work input. Hard data for contract renegotiation.

Group 4 (2)

Continuous visibility, not a one-time audit

Dashboards updated almost in real time. Ongoing monitoring, not a once-a-month review.

How does it work?

From installation to first data in 4 weeks

Non-invasive integration, quick conclusions and a structured path to resource efficiency.

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Agent Tracker

Lightweight agent installed on-premise on workstations. Passively logs time in applications, pages and tools. Zero impact on performance. Data under your control.

Installation in 2 weeks
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AI analytics

Data consolidated in a central database. AI recognizes patterns - distinguishes development work from meetings, production activity from idle. Standardization, cleaning, classification.

Continuous processing
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Dashboards for managers

Dashboards with time schedules, productivity, trends, anomalies and improvement potential.

After 2 weeks
Business effects

Measurable impact on cost and productivity

10%+
Direct cost reduction
25%+
Reduction of indirect costs
4 weeks
From launch to first data
<6 months
Payback time
Next step

Check whether your spending
on external IT resources are realistically working

During the first conversation, we will jointly assess whether the problem has a financial scale in you that justifies implementation.