AI Engineering Studio

AIagents&automationthatship.

We design, build, and deploy custom AI agents, automated workflows, and integrations for teams that need things to actually work in production.

Serving globallyProduction-gradeEN · CET response
Process

How we actually build.

No 12-week discovery memos. We sit with your workflow, ship a prototype on real data, and only commit to a full build once the evidence is in.

  1. Discover

    We sit with the actual workflow and the people doing it. We map inputs, outputs, edge cases, and the messy bits the docs always miss.

    • Workflow map
    • Opportunity ranking
    • Success criteria
  2. Design

    We pick the right tools — agent vs. plain automation, custom build vs. SaaS — and write a spec you can review before any code ships.

    • Architecture diagram
    • Cost & timeline estimate
    • Risk register
  3. Prototype

    A working slice within days, not weeks. Real data, real failure modes, real numbers — so we decide what to build in full with evidence.

    • Working prototype
    • Evaluation results
    • Go/no-go decision
  4. Build

    Production engineering: auth, logging, evals, fallback paths, idempotency. Code reviewed, typed, and deployed via CI/CD.

    • Production deploy
    • Test suite
    • Runbooks
  5. Deploy

    We roll out to a controlled cohort first, watch the dashboards, and only widen the audience once we see what we expected.

    • Phased rollout
    • Monitoring dashboards
    • On-call rota
  6. Iterate

    Agents and automations drift. We keep a retainer slot for evals, prompt tuning, and the inevitable next 'while you're at it'.

    • Monthly eval runs
    • Prompt versioning
    • Quarterly roadmap
Agentic Workflows

What agents actually do.

An agent is a system that turns a goal into a sequence of tool calls. In practice that means six shapes we keep building. Each ships with evals, observability, and a clear handoff to a human when it should ask for help.

Sample prompt
  • With evalsTested, not vibes
  • ObservableEvery call logged
  • Human handoffWhen unsure
  • Production-gradeRetries, audit
Selected work

Shipped, not slideware.

Projects across EdTech, logistics, AP automation, and voice agents — each in production or production-ready.

Coming soon — demo case

An agentic AP pipeline that ingests supplier invoices, extracts line items with vision LLMs, matches against POs, and posts to the ERP with confidence-tier human review.

Document Intake Agent is our demo build of a production AP pipeline. Email ingestion → vision extraction with Claude → schema validation → PO matching with tolerance rules → confidence-tier routing (auto-post / review / reject) → NetSuite posting with original PDF attached and full audit trail. Target ~90% auto-post rate post-tuning.

~90%
Auto-post target
Post-tuning rate on well-tuned schemas
Full
Audit coverage
Per-document trace from email to ERP
Modular
ERP target
NetSuite reference; ports cleanly to Dynamics / Xero / Sage
Confidence
Routing
Three-tier: auto-post / review / reject
Read the case study
Mastery

Learning platform that generates per-learner content, quizzes, and feedback grounded in the syllabus and prior performance — with teacher-facing evals so every generated item is traceable.

We built Mastery — an AI-powered learning platform on Google Generative AI. It generates per-learner content and quizzes grounded in the syllabus and prior performance. Teachers see citations and eval scores on every generated item, so the system is auditable. Adaptive difficulty, full source citation, dockerised CI/CD.

Adaptive
Difficulty
Per-learner per-session tuning based on prior responses
100%
Citation coverage
Every generated item traces back to the source material
Dockerised
Deployment
Reproducible builds, CI/CD configured for the team
Teacher
Auditing
Teacher-facing dashboard for eval scores per item
Read the case study
Confidential — UAE meat distribution group

Dispatch platform handling 1:1, 1:N, N:1, and N:N shipment topologies with offline-graceful sync — so the warehouse keeps running when connectivity doesn't.

We built MeatLogix — a dispatch platform for a UAE meat distribution group that handles every shipment topology (1:1, 1:N, N:1, N:N), works offline when connectivity drops, and surfaces cold-chain risks before they cost money. Five user roles, twelve production screens, conflict resolution on reconnect.

5 roles
User personas
Driver, dispatcher, ops, audit, executive
Offline-first
Architecture
No-signal continuity with conflict resolution on reconnect
12
Production screens
Role-aware, multi-topology, mobile-friendly
1:N, N:1
Topology support
All shipment shapes, not just simple point-to-point
Read the case study
Coming soon — demo case

An AI receptionist that takes calls after hours, books appointments, qualifies new leads into the CRM, and escalates only when a human is genuinely needed.

Voice Concierge is our demo AI phone agent. It picks up calls 24/7, books appointments directly into your calendar, qualifies leads into the CRM, and warm-transfers to humans during business hours. Twilio Voice + GPT-4o Realtime, sub-2-second response, full recording and per-call audit.

24/7
Coverage
Picks up every call, no business-hours gap
<2s
Time to first word
Sub-second response feels conversational, not robotic
Per-call
Audit
Recording + transcript + outcome logged on every call
Warm
Transfer
Context passed to humans, no caller restart
Read the case study
Words from clients

Quiet, working software is the testimonial.

We shipped a production agent for invoice intake in six weeks. It's running unattended on 90% of our supplier invoices and the review queue lets us catch the rest before they hit the ledger.
Head of Finance
AP automation engagement
Mid-market distributor
The prototype landed in two weeks and told us a clear no on one of three ideas before we burned a quarter on it. That alone paid for the engagement.
VP of Operations
Logistics automation
EU freight network
Honest pricing, evidence over hype, and code we can actually maintain when they hand it over. Rare combo in this space.
CTO
Internal tooling rebuild
B2B SaaS
FAQ

The questions we get most.

Honest answers — and if yours isn’t here, the contact form gets a same-day reply.

Contact

Tell us what’s slowing you down.

A short note is enough. We’ll come back within one business day with either a scoping question, a same-week call slot, or an honest “not the right fit”.

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