Workflow automation
Event-driven pipelines that orchestrate work across your enterprise systems and retire the fragile, manual processes nobody wants to own.
Applied AI, data & automation studio
Automation and applied AI, wired into the systems you already run.
We design, build, and ship end-to-end automation, custom AI tooling, and the data infrastructure underneath — from first scope to live in production.
orchestration.layer
live
Built on the platforms your teams already trust
What we do
Six capabilities, one delivery model.
We operate at the intersection of technical implementation and operational strategy — translating tangled business processes into systems that hold up in production.
AI integrations & assistants
Internal AI assistants and LLM-powered tools embedded directly into real operational workflows — not demos, not dashboards nobody opens.
Custom MCP servers
Production Model Context Protocol servers that extend AI into your internal tools and platforms, with scoped access and real auditability.
Data engineering
Ingestion, transformation, warehousing and ETL — the data foundation that surfaces the right information at the right time, idempotently.
Cross-platform integration
Integrations that connect systems that were never meant to talk — eliminating swivel-chair work and manual re-keying at scale.
Implementation strategy
From scoping to deployment. We own the technical path end-to-end and leave behind systems your team can actually maintain.
How we work
A path from messy process to production system.
Four stages, run tight. Each one ends in something you can review — never a black box.
01 — Scope
Map the real process
We trace the actual workflow, its edge cases and the systems involved, then agree on what "done" looks like before a line of code.
02 — Design
Architect for maintenance
Modular, restartable, auditable. We choose the platform per use case and design for the failure modes, not just the happy path.
03 — Build
Ship in increments
Working pieces land early and often. Secrets are managed, runs are logged, and every step is something you can inspect and trust.
04 — Deploy
Run it in production
We deploy, monitor, and hand over documented systems — with the option to keep operating them as your needs evolve.
Selected work
Production systems, running quietly in the background.
A sample of builds delivered inside enterprise operations teams. Client names withheld; the engineering is real.
▸ Automation suite
New-hire orchestration
Ten coordinated automations that run onboarding end-to-end — from hire creation through reminders, group provisioning, calendar invites and chat onboarding — with each hire isolated for clean retries.
10automations, fully hands-off
▸ Custom MCP server
Conversational IT data layer
A production MCP server exposing IT ticketing data to an LLM — SLAs, resolution stats, agents and groups — scoped to a single workspace and queryable in plain language, no exports.
9tools, one secure surface
▸ Data pipeline
Knowledge-health monitoring
Page metadata enriched with identity data, warehoused with idempotent merges, and surfaced as content-health dashboards — giving a knowledge team the data to prioritise cleanup at scale.
0duplicates on re-run
▸ AI assistant suite
Role-scoped internal assistants
A portfolio of internal AI assistants for HR, IT and exec teams — each backed by curated knowledge and MCP connectors, scoped to the right sources so answers stay relevant and on-policy.
6assistants in production
▸ Applied AI
Interview scoring assistant
Automates interview evaluation by reading transcripts and generating structured, track-aware scorecards. Utilises a two-pass architecture — role classification followed by deterministic scoring — to eliminate manual review and ensure absolute evaluation consistency.
2-passscoring, consistent every time
▸ Data engineering
Activity-to-warehouse pipeline
Event data from across the org ingested, enriched with identity, and merged into a warehouse with idempotent ETL and pre-aggregated views — turning raw signals into dashboards that load in seconds, not minutes.
M+events, query-ready
30+Production builds
20+Systems integrated
8+Core platforms
1:1Scope to deploy
How we operate
- Architects automation, AI integrations and data infrastructure across enterprise operations.
- Builds and deploys custom MCP servers that extend AI into internal tools and platforms.
- Operates from scope to deployment — technical implementation and operational strategy in one seat.
Who you work with
A studio, not a slide deck.
AIGA TECH works hands-on at the intersection of technical implementation and operational strategy — from scoping a tangled process to standing up the system that replaces it.
The focus lately is applied AI: turning emerging capabilities into reliable, production-grade tooling that lives inside how an organisation already works. You work directly with the people building it, and the thing that ships is the thing that runs.
Let's build
Have a manual process that should run itself?
Tell us what's eating your team's time. We'll scope it, and tell you honestly whether automation, AI, or neither is the right call.