Service area

Instrument the human layer Seattle's telemetry can't see — then automate what it reveals.

Dataken works with organizations in Seattle, Washington 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.

Seattle's large-scale cloud and fulfillment operations are heavily instrumented at the system level and almost entirely uninstrumented at the desktop level. The result is organizations that can tell you the latency of every service call and nothing at all about the forty minutes a program manager spent reconciling three dashboards to write one status update.

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

What Dataken does for Seattle 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 Seattle 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 Seattle

The sectors that carry this metro’s desktop work.

  • Cloud & enterprise software
  • E-commerce & retail operations
  • Aerospace manufacturing
  • Logistics & fulfillment
  • Health research & global development

Questions from Seattle

Frequently asked

We already have extensive internal telemetry. What does OLi add?
Service telemetry measures systems. OLi measures the human layer that operates them — where attention went, where context was rebuilt from scratch, where a person waited. Those are the costs that internal telemetry structurally cannot see, and they are usually larger than expected.
Does Dataken have an office in Seattle?
No. Dataken, Inc. is headquartered in the Dallas–Fort Worth metroplex, Texas, and serves Seattle 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 Seattle 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 Seattle workflows.

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

Book a 30-minute demo