Diagnose
We map how work moves today, where it stalls, and what each stall costs you in time and money.
- Process mapping
- Interviews
- Cost of delay
Business ops & automation
Run it withoutthe heroics.
When a company runs on the memory of three people and a folder nobody can navigate, growth stops being a strategy problem. We design the operating system underneath — processes, ownership, data, tools and cadence — then build it and hand it over working.
You already havea system.
It just isn't written down. It lives in the heads of whoever has been there longest, in a few hundred documents that made sense when there were twelve of them, and in the meeting where everyone finds out what everyone else decided.
That works until it doesn't — usually the week you hire, launch or scale. We make the invisible system visible, cut what shouldn't exist, automate what shouldn't need a person, and give the rest an owner and a cadence.
What we do for you
Process mapping & optimization
How work actually moves today, where it stalls, and what each stall costs in hours and handoffs.
CRM & workspace design
Attio, Notion, Airtable — structured around how you work, not around a template someone downloaded.
Project & knowledge management
One place where work lives, one place where decisions live, and a rule for which is which.
SOPs & playbooks
Written so a new hire can run the process on their second day without asking anyone.
Onboarding & handoffs
The cross-functional seams where work goes to die, made explicit and given an owner.
Dashboards & reporting
The numbers your team needs to see, updating themselves, in the tool they already have open.
OKR & KPI cadence
A review rhythm that produces decisions instead of status updates.
Workflow automation & integration
The systems talking to each other so data stops being re-typed and reports stop being rebuilt.
Agentic AI flows
Agents that gather information, update records, coordinate tasks, produce outputs and escalate the exceptions.
You walk away holding
- Configured workspaces & databases
- Documented process maps
- SOP & playbook library
- Live dashboards
- Automated workflows
- AI agents in production
- Governance & access rules
- Implementation documentation
- Prioritized improvement roadmap
How we work
Four steps,every time.
Design
We redesign the processes, the data model and the tool architecture, and decide what gets automated.
- Target processes
- Data model
- Automation plan
Build
We configure the workspaces, wire the integrations, and put the automations and agents into production.
- Configuration
- Integrations
- AI agents
Hand over
We document it, train your team, and leave an improvement roadmap ranked by payback.
- SOPs
- Training
- Roadmap
Ops & automation questions
Fair questionsto ask us.
Usually it's the opposite. Structure is cheap to build at fifteen people and brutally expensive to retrofit at fifty. Small teams get the biggest return because there's less to undo.
Less than you'd expect. Most of the work happens alongside business as usual — interviews, design, configuration — and changes land in stages, each one documented and trained before the next starts.
Rarely. Most stacks are mostly fine and the real problem is how they're wired and who owns what. We only propose replacing something when the cost of keeping it is clear and countable.
It will, and that's designed for. You get the documentation, the automations and the governance rules in your own workspace, so your team can change them without calling us.
Rules-bound work: pulling information together, updating records, coordinating tasks between tools, generating routine outputs and flagging anything that doesn't fit. Every action is logged, and exceptions go to a person.
Got a mightyproblem?
Tell us where you're stuck. If we're a fit, we'll say so fast — and if we're not, we'll say that too.
Book a call