Service area
Measure how Chicago claims and freight work actually runs — then automate the repetitive core.
Dataken works with organizations in Chicago, Illinois that need to know how their people actually perform work before deciding what to automate. We do task mining at the desktop level — measuring applications, steps, handoffs, rework, and time — then quantify where AI and automation pay, implement it through OLi, and measure the result.
Chicago's insurance and logistics base runs high-volume, repetitive desktop processing — claims intake, rating, freight audit, and settlement. Volume like this hides its own inefficiency: when a step takes ninety seconds and runs ten thousand times a week, no one notices it should take forty. Process mining built from real desktop activity finds those steps; interview-based process mapping does not.
How Dataken serves Chicago: Dataken, Inc. is headquartered in the Dallas–Fort Worth metroplex, Texas — our only office. OLi is desktop software deployed to your endpoints, so Chicago engagements are delivered remotely. On-site sessions can be arranged by agreement.
What Dataken does for Chicago organizations
Measure the work first. Automate second.
Most AI consulting starts with an interview: tell us your problems. Dataken starts with measurement — task mining and process intelligence built from a first-party activity graph in production since 2020, across more than 10 billion activity records. A Chicago engagement runs six steps.
- 01
Observe how work is actually performed
Task mining at the desktop level — applications used, steps taken, durations, and variation between people doing the same job. Measured, not interviewed.
- 02
Identify bottlenecks, rework, handoffs and friction
The activity graph surfaces duplicate work, decision delays, over-complicated steps, and the private workarounds that never appear in a process map.
- 03
Quantify the opportunity and the ROI
Every finding carries a measured frequency and duration across the population, so the business case is arithmetic rather than estimate.
- 04
Determine where AI, automation, or agents actually make sense
Prioritized by volume, repeatability, and measured cost — which also means saying plainly which processes should be eliminated rather than automated.
- 05
Implement it — not just deliver a strategy deck
OLi ships to the desktop and acts at the point of work, surfacing the right knowledge, content, or completed action in the moment.
- 06
Measure the result afterward
The same activity graph that produced the baseline measures the change. 10% more productive time in 30 days, or the engagement is not billed.
Where OLi fits in Chicago
The sectors that carry this metro’s desktop work.
- Insurance & risk
- Industrial manufacturing
- Transportation & logistics
- Professional services & consulting
- Derivatives & trading
Questions from Chicago
Frequently asked
- How is this different from the process mining we already run on our ERP logs?
- System-log process mining sees what your systems recorded. It cannot see the twenty minutes an adjuster spent in a spreadsheet, a PDF, and three browser tabs between two ERP writes. OLi's activity graph captures the desktop layer between system events, which is typically where the majority of cycle time actually sits.
- Does Dataken have an office in Chicago?
- No. Dataken, Inc. is headquartered in the Dallas–Fort Worth metroplex, Texas, and serves Chicago organizations remotely. OLi is desktop software deployed to your endpoints, so delivery, rollout, and support are performed remotely; on-site sessions can be arranged by agreement.
- How do Chicago teams start with OLi?
- Start with a 30-minute demo. Deployment scopes to a single operational function first, runs against a baseline agreed at kickoff, and carries the 10%-more-productive-time-in-30-days commitment.
See OLi against your own Chicago workflows.
10% more productive time in 30 days. Or you don’t pay.
Book a 30-minute demo