Service area
Give San Francisco agents the work context they're missing — measured, not prompted.
Dataken works with organizations in San Francisco, California 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.
San Francisco teams are the most likely of any market to have already deployed AI assistants — and the most likely to have discovered the limit: an assistant that cannot see the work can only respond to what it is told. The activity graph is the missing input layer, which is why San Francisco conversations tend to start at the developer and integration level rather than the productivity-tool level.
How Dataken serves San Francisco: Dataken, Inc. is headquartered in the Dallas–Fort Worth metroplex, Texas — our only office. OLi is desktop software deployed to your endpoints, so San Francisco engagements are delivered remotely. On-site sessions can be arranged by agreement.
What Dataken does for San Francisco 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 San Francisco 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 San Francisco
The sectors that carry this metro’s desktop work.
- Software & AI
- Financial technology
- Venture capital & private markets
- Digital health
- Enterprise SaaS
Questions from San Francisco
Frequently asked
- Can we access the activity graph programmatically rather than through OLi?
- That is the developer track. Dataken exposes the context layer for teams building their own agents, so the activity graph can serve as an input substrate to an in-house agent rather than only powering OLi. The developer program is in waitlist stage — see the Developers page.
- Does Dataken have an office in San Francisco?
- No. Dataken, Inc. is headquartered in the Dallas–Fort Worth metroplex, Texas, and serves San Francisco 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 San Francisco 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 San Francisco workflows.
10% more productive time in 30 days. Or you don’t pay.
Book a 30-minute demo