Service area

Turn two minutes per transaction into a budget line — then automate it away.

Dataken works with organizations in Tampa–St. Petersburg, Florida 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.

Tampa Bay has become a major shared-services destination — brokerage operations, insurance servicing, and healthcare administration centers built to run at scale with tight cost per transaction. In that model, a two-minute improvement in a repeated desktop task is a budget line, not a nicety.

How Dataken serves Tampa–St. Petersburg: Dataken, Inc. is headquartered in the Dallas–Fort Worth metroplex, Texas — our only office. OLi is desktop software deployed to your endpoints, so Tampa–St. Petersburg engagements are delivered remotely. On-site sessions can be arranged by agreement.

What Dataken does for Tampa–St. Petersburg 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 Tampa–St. Petersburg engagement runs six steps.

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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 Tampa–St. Petersburg

The sectors that carry this metro’s desktop work.

  • Financial services operations
  • Healthcare administration
  • Defense & special operations support
  • Insurance
  • Professional & shared services

Questions from Tampa–St. Petersburg

Frequently asked

How does Dataken quantify savings for a shared-services center?
By measuring the same task pattern before and after intervention across the full population, using the activity graph rather than sampled observation. The 30-day guarantee is written against measured productive-time gain, which is why the measurement method is agreed before deployment rather than after.
Does Dataken have an office in Tampa–St. Petersburg?
No. Dataken, Inc. is headquartered in the Dallas–Fort Worth metroplex, Texas, and serves Tampa–St. Petersburg 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 Tampa–St. Petersburg 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 Tampa–St. Petersburg workflows.

10% more productive time in 30 days. Or you don’t pay.

Book a 30-minute demo