Free Discovery Call
Quick fit check, then a calendar booking for the avatar assessment.
- Booked assessment slot
- One-page intake brief
- No commitment
A custom-trained AI avatar learns your business first, surfacing real ROI and specific use cases. Three weeks onsite leaves a fully costed action plan, no commitment to proceed. Hire 1 to 12 Anthropic-certified specialists from us, or run it with your own staff.
How it runs

Quick fit check, then a calendar booking for the avatar assessment.
Our custom-trained AI Business Analyst avatar runs a structured assessment of your firm.
Yours to keep whether you proceed or not.
AI Lead validates the avatar's recommendation against your real environment.
Yours to keep whether you proceed or not.
1 to 12 Anthropic-certified specialists from our marketplace, or a permanent team via Galileo Search. Minimum viable team only.
What enterprise deployment requires
To actually deploy AI in a regulated enterprise you need someone owning each layer. This is the ownership map a real deployment requires.
| # | Layer | What it is | Who owns it |
|---|---|---|---|
| 01 | Strategy | Decides which workflows justify the spend, then commits the board, the budget and the ethical line in the sand. | Chief AI Officer (overall), AI Product Manager (use case prioritisation) |
| 02 | Workflow boundaries | Translates messy business processes into the right number of plugins, so build cost and adoption stay sane. | AI Business Analyst |
| 03 | System architecture | Designs how plugins, MCPs, connectors and identity fit together, so the harness scales past the first three use cases. | AI Solutions Architect |
| 04 | Plugins themselves | Builds the workflow packages and, where no off-the-shelf tool fits, the custom applications that wrap them. | Gen AI Engineer (Claude Code Developer) |
| 05 | MCPs and data connectors | Wires the harness into core systems, SAP, Salesforce, ServiceNow, data warehouses and legacy, so agents act on real records. | AI Integration Engineer + Data and Analytics Engineer |
Decides which workflows justify the spend, then commits the board, the budget and the ethical line in the sand.
Owner
Chief AI Officer (overall), AI Product Manager (use case prioritisation)
Translates messy business processes into the right number of plugins, so build cost and adoption stay sane.
Owner
Designs how plugins, MCPs, connectors and identity fit together, so the harness scales past the first three use cases.
Owner
Builds the workflow packages and, where no off-the-shelf tool fits, the custom applications that wrap them.
Owner
Wires the harness into core systems, SAP, Salesforce, ServiceNow, data warehouses and legacy, so agents act on real records.
Owner
Every role is from our Galileo Reviewed marketplace. Anthropic-certified. References-checked.
Implementation talent, transparently priced
Every delivery is staffed from our Galileo Reviewed marketplace. References-checked, day rates published, no hidden margin. Pillar tags show how each role fits the harness.
| # | Role | Pillar | Day rate (AUD) | Mid monthly | Responsibility |
|---|---|---|---|---|---|
| 1 | Chief AI Officer | Strategy | $1,800 to $2,500 | $47,300 | Board paper, ROI thesis, ethics charter |
| 2 | AI Product Manager | Strategy | $1,200 to $1,800 | $33,000 | Use case backlog, plugin roadmap, value tracking |
| 3 | AI Solutions Architect | Platforms | $1,200 to $1,700 | $31,900 | Architecture diagrams, MCP topology, integration patterns |
| 4 | AI Business Analyst | Business | $900 to $1,300 | $24,200 | Workflow maps, plugin scope docs, acceptance criteria |
| 5 | Gen AI Engineer (Claude Code Developer) | Platforms | $1,200 to $1,800 | $33,000 | Plugins, custom applications, hooks and scripts |
| 6 | AI Integration Engineer | Platforms | $1,000 to $1,500 | $27,500 | SAP / Salesforce / ServiceNow MCPs, legacy connectors, enterprise auth |
Board paper, ROI thesis, ethics charter
Use case backlog, plugin roadmap, value tracking
Architecture diagrams, MCP topology, integration patterns
Workflow maps, plugin scope docs, acceptance criteria
Plugins, custom applications, hooks and scripts
SAP / Salesforce / ServiceNow MCPs, legacy connectors, enterprise auth
Mid monthly figures show one role at 22 working days against the day-rate midpoint. Final pricing is set during the 3-week validation in Stage 3.
Right-sized to your firm
Most engagements use 1 to 12 specialists. Pick the column that matches your firm to see which roles you need and a three-month illustrative cost.
| Role | Startup | Scaleup | Midmarket | Large | Enterprise | APRA | Gov |
|---|---|---|---|---|---|---|---|
Chief AI Officer | • | • | • | ||||
AI Product Manager | • | ||||||
AI Solutions Architect | • | • | |||||
AI Business Analyst | |||||||
Gen AI Engineer (Claude Code Developer) | |||||||
AI Integration Engineer | • | ||||||
| Total roles | 3 | 7 | 11 | 12 | 12 | 12 | 12 |
Illustrative 3-month engagement cost
Estimate based on each role's daily-rate midpoint, 22 working days per month, over 3 months. Final pricing is set during the 3-week validation.
Built for the firms AI was made for
Document-heavy reconciliation, BAS prep, and audit work where Claude compresses analyst time on the repeatable parts.
Reconciles transactions from Xero or MYOB feeds against spreadsheet inputs and flags variance lines for review.
A reconciled ledger with a variance log ready for the senior reviewer.
Drafts the quarterly BAS from transaction data and prior-quarter rules.
A BAS draft with review notes naming any borderline transactions.
Generates audit workpapers and validates them against source documentation.
First-pass workpapers with audit trail annotations and unresolved items flagged.
Extracts data from client source documents and maps it to the correct return forms and schedules.
A first-draft return with a coverage checklist for the accountant.
Proof in production: Goldman Sachs uses Claude for accounting analysis
Start free. Decide later.
30-minute call, then a 60 to 90 minute AI avatar assessment. Costed team plan in your hands within a week. No commitment to proceed.