We started Mica10 inside a large Australian Government Generative AI/RAG pilot program. We read the claims of transformative potential everywhere but just wanted something that made lives easier. We were the team answering security, auth, context and prompt management, change-control, and shipping traceable code that just worked. The users we served didn’t care about hype—they just needed the workflow to run correctly, every single time.
That experience made something obvious: the biggest productivity gains aren’t in flashy demos. They live in the boring, compliance-heavy processes that every complex organisation quietly tolerates because “that’s just how we’ve always done it.”
We build. We ship. We comply. If it can’t survive a real deployment with guardrails and audit trails, we’re not interested.
What the government project taught us
- Production over theatre. Weekly increments, not year-long roadmaps. Systems were observable, debuggable, and reversible before day one.
- Compliance from the first commit. Access controls, retention rules, escalation paths, and logging were baked into the architecture—not bolted on later.
- Boring work is where AI actually wins. Automating repetitive, high-stakes workflows produced the only ROI anyone could measure.
- Users care about reliability. Hallucination-resistant answers with provenance beat a wow-factor demo every time.
Where we focus now
Every complex organisation has workflows being run by spreadsheets, inboxes, and heroic memory. Those are the processes we automate—one at a time.
- Healthcare operations: discharge summaries, referral packets, policy lookups, and documentation that needs citations plus access controls.
- Financial & professional services: regulatory drafting, evidence collection, and audit-ready review packs.
- Ops and shared services: exception handling, manual approvals, escalations, and routing logic that burns thousands of hours.
These aren’t headline AI projects. They’re the work that keeps the business alive—and they demand reliability, governance, and boring repeatability.
Principles we refuse to compromise on
- Ship to production and stay there. Tooling, hosting, and data paths respect your environment, not ours.
- Prove compliance on day one. Guardrails, retention, and approvals are part of the MVP, not phase two.
- Design for observability. Traces, metrics, redaction states, and exception handling are visible to legal, risk, and operations.
- Handle the messy edges. Human review paths, fallbacks, and “no answer” states are explicit—because the real world is messy.
- Measure what matters. Every workflow ships with baseline metrics, success criteria, and an eval harness we keep running.
Our workflow playbook (weeks, not quarters)
- Week 0–1: Map the real process—including approvals, owners, and compliance artefacts. Build the golden dataset and evaluation harness with your SMEs.
- Week 2–3: Stand up ingestion, retrieval, and orchestration layers. Wire in policy guardrails, ACL propagation, and audit logging.
- Week 4: Ship a guarded MVP to the smallest group of real users. Instrument everything. Capture the edge cases everyone warned us about.
- Week 5–6: Harden, measure, and expand the blast radius. Deliver the runbooks, dashboards, and handover plan so your team can own it.
No steering committees. No transformation theatre. Just a focused team, a painful workflow, and a path to production.
What you get when we automate a workflow
- A system that is auditable by default—every answer, action, and override has provenance.
- Compliance-grade guardrails: retention, redaction, approvals, and access controls aligned to your policies.
- Observability and governance so risk can sign off without holding their breath.
- Scalable patterns you can reuse: ingestion pipelines, evaluation harnesses, and orchestration libraries that survive the next five workflows.
Ready to pick the workflow everyone avoids?
Bring us the process that’s risky, manual, and politically uncomfortable because “compliance will never approve it.” We’ve been there. We’ll build it right—and we’ll ship it the same way we did for government: boring, reliable, and in production.
Talk to us or pick a time on the contact page. Let’s turn the work nobody wants into the system everyone trusts.