Services
Hands on, end to end.
Zarco does the work: mapping it, building it, deploying it, improving it. Embedded in your workflows from the first scoping call.
01
AI discovery and strategy
Most teams can name ten places AI might help and cannot say which one is worth doing first. Guessing is expensive, and spreading thin across all ten is worse.
What you get
- A map of your workflows and where the time actually goes.
- A shortlist of use cases ranked by value and feasibility.
- Data, integration and security requirements for each.
- An implementation roadmap with an indicative business case.
How it runs
- Week one, we sit inside your workflows.
- You get a shortlist ranked by value, with the reasoning shown.
- It ends with a decision meeting, not a report drop.
02
AI training
Most companies have a few people quietly good with AI and everyone else guessing. Capability that lives in pockets never compounds.
What you get
- AI at work: our two-session live course for up to 12 people, mixed roles welcome.
- A scoping call and skills survey first, so it runs on your real work at your team's level.
- Session one builds skills: how the models work, prompting that holds up, safe use of company data.
- Session two builds things: assistants on your own documents, first automations, a where-next roadmap.
How it runs
- A scoping call and short skills survey shape both sessions.
- Between sessions, everyone runs AI on one real task from their own week.
- The assistants built in session two leave with the team, working.
Two sessions of 3.5 hours, about a week apart, remote or at your office. Priced per cohort. Full course on the AI at work page.
03
Workflow automation
The work that eats your team's week is rarely difficult. It is repetitive, spread across tools, and never anyone's job to fix.
What you get
- Recurring workflows designed, built and run across the tools you already use.
- CRM upkeep, meeting follow-up, recurring reports, document handling.
- Onboarding, account research, proposal drafts, collections chasing.
- Approvals built in: drafts queue for a human before anything sends.
How it runs
- We map the workflow with the person who runs it today.
- It goes live drafts-first: everything queues for approval until trust is earned.
- Then the approvals loosen at the pace you choose.
And when AI is not the right answer, we say so and build the simpler thing instead.
04
Bespoke AI software
Sometimes the right tool does not exist, and bending a platform to fit costs more than building the thing properly.
What you get
- Internal tools, document-processing systems, operational dashboards.
- Portals and AI-native products.
- Standalone, or connected to the Console so it shares your knowledge base and approvals.
- Operational business systems, not brochure websites.
How it runs
- Design starts from the operational problem, not a feature list.
- You see a working slice in the first weeks, not wireframes.
- It ships with an owner: us, until your team takes it over.
Designed and built in-house. See the recruitment suite and booking platform in our selected work.
05
Knowledge and agent systems
Your business already knows the answer to most questions it gets asked. The knowledge is scattered across inboxes, drives and heads, and a raw model knows none of it.
What you get
- Assistants and specialist agents grounded in company information.
- Permissions decided by you, enforced by the system.
- Every answer cites its source, so trust does not depend on faith.
How it runs
- We ingest from the systems you already trust, nothing else.
- Permissions are set with you and enforced by the platform.
- Answers cite their sources from day one.
Often the first thing a team feels day to day. Runs standalone or inside the Console.
06
Console deployment
When you want the whole thing working together: agents, knowledge, projects, integrations and approvals in one managed environment.
What you get
- Your knowledge base built from your real documents and systems.
- Integrations connected, agents configured for your roles.
- Your AI policy written with you and enforced by the platform: who approves what, which systems agents may touch, what always needs a human.
- Training, then ongoing tuning as the system beds in.
How it runs
- We seed the knowledge base from your real documents before anyone logs in.
- Your team pilots on real work, not a sandbox.
- We stay in the loop, tuning agents as the logs come in.
Pilot with your team in weeks, expand at the pace the results earn.
07
Local AI
Some firms cannot put their data in anyone's cloud. That should not lock them out of AI.
What you get
- Hardware and open-weight models supplied and configured.
- Installed on your premises, managed and updated by us.
- The same workflow mapping and approvals thinking, inside your walls.
How it runs
- We scope the hardware to the models your work actually needs.
- Everything is installed and tested inside your network.
- Updates arrive on a schedule you approve, never silently.
Not sure which of these you need?
That is normal. Tell us the problem and we will tell you the shape of the answer.
Discuss a project