Services
We find where AI fits.
Then we show you how.
Most consultancies stop at the recommendation. We design AI operations, then build and run them with you when you're ready. Choose how far you want us to go.
Takes 15 min. No signup required.
Package stack
Fixed-fee packages.
Every engagement starts with an AI Ops Review.
Diagnostic
AI Ops Review
A$4,950
1 week
Guided intake, 30-min review call, Workflow Audit Report, walkthrough call.
Strategy
Operating Plan
A$20K
4-6 weeks
Phases 1-3: workflow audit, opportunity matrix, blueprint.
Build
First Workflow Live
A$50K
8-12 weeks
Phases 1-4: Operating Plan plus one workflow shipped to production. Backed by a Workflow Live Guarantee.
Multi-build
Operating System
A$100K+
3-6 months
Multi-workflow build with a handoff to month-to-month support.
After launch
Ongoing Support
A$5-10K/mo
Month-to-month
Monitoring, optimization, and new workflow rollouts after launch.
Prices in AUD. Scope fixed at signing. Expansions priced as follow-on engagements.
What we do
We map the workflow before we automate any of it.
- 01
Discovery & assessment
You can't automate what you haven't mapped.
- 02
Opportunity identification
Not every problem needs AI. We find the ones that do.
- 03
Solution design
Architecture blueprints, not slide decks.
- 04
Implementation & delivery
Production-grade workflows, compounding savings from day one.
- 05
Ongoing support
The work compounds after launch.
Plus optional add-ons: policy & governance, vendor RFPs, team capability
Phase 01
Discovery & assessment
You can't automate what you haven't mapped.
You walk into your next leadership meeting with one workflow named, ranked, and ready to build — and the reasoning your CFO will sign off on.
Deliverables
Workflow Audit Report
- Workflow inventory
- Ranked pain points with root-cause analysis
- Per-pain data readiness assessment
- Explicit "not worth doing" calls
Best for
Anyone serious about AI. The mapping happens before anything else does.
Phase 02
Opportunity identification
Not every problem needs AI. We find the ones that do.
Each pain point is evaluated against AI feasibility and business impact. The result is a prioritized roadmap with quick wins and long-term plays.
Deliverables
AI opportunity matrix
- Pain points mapped against feasibility
- Estimated ROI per opportunity
- Build vs. buy vs. integrate recommendations
Prioritized roadmap
- Phased plan (30/60/90 day, 6 to 12 month)
- Dependencies and sequencing
- Resource requirements
Best for
CFOs who want costed ROI on every workflow before signing off.
Phase 03
Solution design
Architecture blueprints, not slide decks.
Detailed technical and business design for selected AI opportunities. System architecture, data flows, integration points, and a business case with measurable KPIs.
Deliverables
Architecture blueprint
- System architecture diagrams
- Data flows and integration points
- Tech stack recommendations
- Security and compliance considerations
Business case document
- Executive summary
- Cost projections
- Measurable KPIs
- Risk register
Best for
Technical leads who'd rather lose a week to design than three months to a misbuilt pilot.
Phase 04
Implementation & delivery
Production-grade workflows, compounding savings from day one.
We build and ship the workflow. Vendor configuration, prompt and agent scaffolding, data pipelines, and integration with existing tools — running in production by the end.
Deliverables
Shipped workflow
- Built, integrated, and running in production
- Vendor configuration
- Prompt and agent scaffolding
- Data pipelines where needed
- Integration with existing tools
Implementation playbook
- How it was built and how it runs
- How to operate and extend it
- Written for your team to own
Measurement framework
- Baseline metrics and targets
- Dashboard specs
- Review cadence
Best for
Companies that need the first workflow live in production before they'll fund the next three.
Phase 05
Ongoing support
The work compounds after launch.
Monthly review cadence, drift alerts, and new workflow rollouts. The team that built the system tunes it.
Deliverables
Monthly review cadence
- Performance metrics vs. baseline
- Optimization recommendations
- Flagged regressions or model drift
Scope expansion
- New workflow candidates
- Additional integrations
- Team capability updates
Best for
Companies that don't want to hire an in-house AI ops engineer just yet.
Optional add-ons
Bolt on what you need.
AI policy & governance
Data handling rules, acceptable use policies, human-in-the-loop requirements. The guardrails your team needs before deploying AI at scale.
Vendor RFP templates
Evaluation criteria, comparison scorecards, and demo questions, so you choose the right tools, not the loudest ones.
Team capability assessment
Skills gap analysis, hiring recommendations, and training program outline to build internal AI fluency.
Map your workflows.
See where AI earns its place.
15 minutes of mapping. A clear answer on what AI is worth to you.
Takes 15 min. No signup required.