Automation
Document intelligence, retrieval, pipelines, and review support — pointed at the load that repeats inside recruiting, training, knowledge, compliance, and research.
AutomationNock AI
We take the work off the team.
Automation, agentic workflow design, and software generation for the operational load that never belongs on a person's calendar.
Selected engagements
Automation
The recurring work moves into systems people already have open.
Agentic workflows
Agents that run inside the real process, with the exceptions drawn first.
Software generation
Tools built for one specific job, not a platform to grow into.
What we do
Three ways in.
Different shapes, one job: hours returned to people who already have jobs.
Agentic workflow design
We sit with the process before we design anything. The handoffs, the exceptions, and the person who stays accountable get drawn first — then the agent gets built around them.
Agentic workflow designSoftware generation
Internal tools and product surfaces generated for a specific job — usable in the first week, not after a third training.
Software generationWork
Systems in production.
Two engagements we can discuss in public — one internal, one shared with a table of partners. Both are running.
Internal systems
Hours returned to the people doing the work
A suite of internal systems for recruiting, training, knowledge, compliance, and research. The published result: thousands of employee hours saved annually.
Thousands of employee hours saved annually
Behind the scenes
Sophy, Meraki Map, and Community
We built Sophy, Meraki Map, and Community at mymeraki.ai, as a behind-the-scenes partner alongside Harvard Square Labs, Genesis, Barrie Cohen PR, and Thrive3.
Alpha sessions averaged 20 minutes
How we build
Map. Design. Build. Ship.
We embed with the people who own the process, then deploy software they can live with.
Map
Sit with the work. Describe the load as clearly as the people who carry it, and separate what belongs to judgment from what a system can absorb.
Design
Automation, agents, or software — whichever fits the job, chosen after the map and not before it.
Build
Generate and assemble the system against the real workflow. If it cannot take hours off the team, it does not ship.
Ship
Deploy into the process the team already runs. No new ritual for its own sake.
Stay
Adoption, exceptions, and the failures that only appear once the work is real.
FAQ
Competing in the age of AI
Where agentic systems actually pay off inside an organization that already exists — and where they do not.
In the work that repeats with variation: reading documents, reconciling records, drafting the first version, chasing the missing field. A model handles the pass that used to eat an afternoon, and the person keeps the decision at the end. The gain comes from removing the setup and the hunting, not from removing the judgment.
Fit it in. A workflow that people already trust carries years of encoded exceptions, and a rebuild throws that away on day one. Put the agent inside the system the team already has open, let it earn the next step, and redesign later if the process turns out to be the thing that was broken.
Less on the line, more around it. Supplier documents, quality records, work instructions, deviation reports, and the back-and-forth with vendors are all text and structure, and that is where systems absorb load quickly. The physical process usually stays as it is; the paperwork wrapped around it does not have to.
Design gains most in the middle of the process — variant generation, spec drafting, asset preparation, and the review notes nobody wants to write up. Research gains at the ends: collecting and cleaning source material before the work starts, and structuring findings after. The thinking in between is the part worth protecting.
Look for work that repeats, has a checkable output, and costs a known number of hours a week. If a person can tell you what a correct result looks like without a long conversation, a system can be held to it. Work where the standard lives in someone’s head, or where being wrong is expensive and hard to notice, should stay with the person for now.
Pick one process that someone internal owns and is willing to sit with. Ship something into their real week, with the exceptions mapped before the happy path, and measure it against the hours it was supposed to remove. One working system teaches an organization more than a portfolio of pilots.
The demo works and the Tuesday does not. Most failures are adoption failures: the tool sits beside the workflow instead of inside it, nobody owns the exceptions, and the team quietly goes back to the spreadsheet. The second failure is scope — building a platform when the job was one specific task.