Services
Integration, AI enablement, and the implementation that joins them
Integration makes your systems agree with each other. Enablement puts AI to work on top of them, with support that continues after go-live. Implementation is how both arrive: built by hand and with AI, tested by your team early. And adoption is what all of it is judged on: not a better system, but people using it well.
User experience and adoption
A better system is not the goal. People using it well is. We change how the work is done, not only what it runs on.
We sit with the people who use the system, watch where they slow down or work around it, and change the screens, the flow and the habits until the efficient way is also the easy way. Then we keep measuring who is using it and how, and adjust.
- Sessions with the people doing the work, not only their managers
- Screens, fields and steps simplified to the way the job is actually done
- Training on their own tasks, repeated until it is habit
- Adoption measured after go-live, and changes made from what it shows
Integration between your systems
Your CRM, ERP, finance system, website and the tools around them share one version of the truth, without retyping.
Record-level syncs between systems and sites, with field mappings written down, edge cases decided up front, and every flow run in a sandbox before it touches production.
- CRM systems such as HubSpot
- ERP and finance systems such as NetSuite
- Integration platforms like Celigo, plus REST APIs and webhooks
- Websites, forms and workspace tools such as Google Workspace
- Sandbox-to-production cutover
AI enablement, with support that stays
Your people open Claude because it can see their work and do something about it, and someone is there when it needs adjusting.
Connectors into the systems your team uses every day, skills written for their actual tasks, rules enforced server-side, and hands-on training on their own work. Then ongoing support: a named person, regular check-ins, and changes as use grows.
- Team onboarding and training
- Connectors to your CRM, ERP, accounts, calendar and mail
- Ongoing support and tuning after go-live
- Usage rules and an audit trail
Implementation and custom software, by hand and with AI
CRM, ERP and software projects where your team is testing from the start, not at the end.
We combine hands-on configuration with Claude Code to get to a first working version early, then iterate with the people who will use it. Internal tools, portals and web apps built for production and handed over with the code.
- CRM and ERP rollouts, such as HubSpot and NetSuite
- Custom tools built on React, FastAPI and PostgreSQL
- Working slice early in the engagement
- Adoption measured, not assumed
Agents with a person in the loop
The repetitive work is drafted before you sit down. You review and approve.
Scheduled agents that prepare the morning brief, triage the inbox, turn meetings into records, book time and draft invoices. They draft. Your team decides. Only then does anything get sent or saved.
- Scheduled routines
- Draft, review, approve
- Works across your mail, calendar, CRM and ERP
Not sure which of these you need?
Most engagements start with one process and touch two of them. Describe the process and we will say which.