AI & automation engineering

AI that reasons.
Code that executes.

We're two engineers who design and build AI and automation systems for any team with work that should run itself. Bring us the problem and we'll build the system, in your stack, ready for production.

How we build

Models make judgement calls. Code enforces the rules.

Every system we ship keeps these two jobs apart. That's how AI gets reliable enough to trust with real work: when a model is wrong, the system catches it before anyone downstream sees it.

Probabilistic

What the AI does

  • Reads, classifies and prioritises
  • Researches and retrieves context
  • Drafts, summarises and recommends
  • Checks the work of other steps

Deterministic

What the code does

  • Enforces business rules and permissions
  • Moves data between systems reliably
  • Handles retries, errors and audit logs
  • Stops for human approval when it matters

What we do

If it's repetitive, slow or error-prone, we can probably build it away.

We don't specialise in one tool or one department. We specialise in turning messy, manual work into systems that run on their own.

AI agents & assistants

Software that reads, decides and acts, with a human in the loop where it counts.

  • Agents that research, draft and take action across your tools
  • Voice and chat assistants for customers or your own team
  • Approval steps, oversight and kill switches built in

Process automation

The manual steps between your tools, gone.

  • Workflows that connect the systems you already use
  • Intake, routing, follow-ups and handoffs that happen automatically
  • Monitoring and alerts so nothing fails silently

Knowledge & data

Your information, organised and usable by people and AI alike.

  • Search and Q&A grounded in your own documents and records
  • Integrations and syncs that keep systems consistent
  • Clean data models, reporting and evaluation

Infrastructure & reliability

The unglamorous foundations that everything else depends on.

  • Internal tools and platforms, with proper access control
  • Security reviews, hardening and audits
  • Email, domain and systems configuration that actually works

Security

AI that can only go as far as you let it.

The worry is fair. An AI tool with broad access is a new way into your systems. So every system we build gives the AI only the access its job needs, logs everything it does, and stops for a person before anything sensitive happens.

Least privilege

Each agent gets its own credentials, scoped to the exact data and actions its job needs. Nothing shared, nothing extra.

Your data stays yours

We run in your environment where we can, and use AI providers that don't train on your data, with the strictest retention settings they offer.

People approve what matters

Sending, paying, deleting and anything that leaves the company waits for an approval step.

Everything is logged

Every model call, tool call and decision is recorded, so you can always see what happened and why.

Hardened against manipulation

Emails, documents and web pages are treated as untrusted input. Instructions hidden in content can't trigger actions.

Ready for your auditors

We've worked inside SOC 2 and ISO 27001 programmes. Access reviews, secret handling and the documentation auditors ask for are part of the build.

Where it applies

Any team. Any stack.

A few of the places this kind of work tends to pay off. If yours isn't here, it's still worth a conversation.

Sales & marketing

  • Lead handling and follow-up
  • Research and personalisation
  • CRM hygiene

Operations

  • Intake and routing
  • Approvals and handoffs
  • Scheduling and reminders

Finance & legal

  • Document and contract review
  • Data extraction
  • Reconciliation checks

Customer support

  • Inbox triage
  • Answers from your knowledge base
  • Escalation rules

IT & security

  • Access and identity sync
  • Device and app management
  • Security monitoring

Leadership

  • Reporting that writes itself
  • Signals and early warnings
  • Ask-anything data assistants

Process

From first call to production in weeks.

Step 1

Understand

We learn how the work happens today and where the time goes. We also check that the brief is solving the right problem.

Step 2

Design

A scoped plan with clear success criteria before we write any code.

Step 3

Build

We ship in stages inside your environment and test against real data.

Step 4

Hand over

You get docs, monitoring and training so your team owns the system. Or we keep running it for you.

Why us

Two engineers. No handoffs.

The people who scope it build it

You talk directly to the engineers writing the code, with no account managers in between.

Built to run, not to demo

We've operated these systems in production and been accountable for the results.

Tool-agnostic

We work in the stack you already have, or help you choose the right one.

You own the result

Documented, monitored, and yours to keep running.

Contact

Have a process that should run itself?

Tell us what's slowing your team down. We'll tell you straight whether AI is the answer.

hello@jidgrid.com