AI readiness assessment
Find the use case with the clearest return and check your data is ready.
- Workflow and data review
- Ranked use cases
- A plan you can act on
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Claude & AI
AI agents that run the work. You approve what matters.
We build Claude agents that plan, research, write and check, across your systems, and stop for a person before anything important happens.
Approval needed
Try it
Give the agents a task
Describe something your team does every week. The agents will plan it, show which systems they'd use, and stop for your approval.
Services
From first idea to agents in production
Six services, in the order most teams need them. Hover a service to see where it fits.
Drafted by Writer agent · approved by Reviewer1Assess
Team enablement
Hands-on workshops so your people use Claude well, every day.
- Role-based sessions
- Prompting and good habits
- Safe-use guidelines
2Build
Claude agent development
Custom agents for sales, support and operations.
- Design and build
- Approval steps
- Testing on real scenarios
MCP integrations
Safe, logged connections between Claude and your systems.
- Salesforce, databases, APIs
- Least-access permissions
- Audit logs
Back-office & documents
Invoices, expenses, contracts and RFPs, handled end to end.
- Document reading
- Matching and checks
- Exceptions to a person
3Run
Ongoing support
We monitor, tune and extend your agents after launch.
- Monitoring and fixes
- Monthly improvements
- New agents as you grow
Why Claude
Why we build on Claude
Drafted by Writer agent · checked by ReviewerReads long documents
Contracts, policies, case histories and RFPs, read in full instead of skimmed.
Uses tools through MCP
Connects to your systems through the Model Context Protocol, with access you control.
Built with safety in mind
A good fit for work that needs care, checks and a person in the loop.
Guardrails
Autonomous, not unsupervised
Reviewed by Reviewer agent · approved by a personLeast access
Each agent gets only the permissions its task needs.
Human approval
Sending, paying, deleting and record changes wait for a person.
Every step logged
You can see what each agent did, when and why.
Tested first
Sample data, then a safe slice of real data, before go-live.
Delivery
How we deliver
Small first, then real.
Assess
Pick one workflow with a clear, measurable result.
Pilot
A working agent on sample data, then real data.
Build
Production rollout with approvals and logging.
Run
Monitor, improve and add agents over time.
Do you only work with Claude?
Claude is our first choice for agents, because it handles long documents and tool use well. If your organization has standardised on another model, we'll talk through what fits.
Where does our data go?
As little as possible leaves your systems. An agent only reads what a task needs, through access you control. We agree the setup and data handling with you in writing before any build starts.
Can an agent act without approval?
Not on anything that matters. Sending, paying, deleting and changing important records wait for a person, and every step is logged.
How long does a first agent take?
It depends on the workflow and your systems. We scope one workflow as a fixed pilot and agree the timeline before work starts.
Is the control room on this page real?
It's a simulation with sample data, built to show how agents work together. Your real agents run on your data, with your permissions.
Start a conversation
What repetitive work would you hand to an agent?
hello@nodepointai.com