ADM · 10 December 2026 Privacy Act automated decision-making duties start 10 December 2026. Check your readiness →
Decide

Seatline: Build, Wait or Substitute

Before you renew your SaaS platform, decide: build, wait or substitute.

Major platform renewals arrive with price rises and AI add-ons, while much of the work done in those seats could be done by agents and automation you own. Without an independent view, the renewal is signed on the vendor's terms.

What you get

  • Licence and usage baseline for the platform, from your own data
  • Build, wait or substitute verdict for each workload
  • Seat-reduction and ROI model, tested against licence minimums and tiers
  • Renewal negotiation position with walk-away analysis
  • Licence-compliance check so every saving holds when the vendor pushes back

How it works

  1. Diagnose3 weeks: baseline, verdicts, savings case.
  2. RenewNegotiation position against the vendor's quote.
  3. PilotFirst workload moved off seats.
  4. Build & runProduction build, then managed operations.
3 weeks · fixed feeDiagnostic per platform, credited against the pilot. Renewal support can be tied to the saving achieved.

Who it's for
CFOs and CIOs facing a Salesforce, SAP, ServiceNow, Workday or Oracle renewal, or a proposed custom AI build.

Decide

AI-Led Transformation

Prove the value of AI before you fund scale, then scale what is proven, safely.

Many organisations have AI pilots that worked as demonstrations but never became services that change how work is done. Value was estimated rather than measured, risk controls came late, and designs were never ready to build.

What you get

  • Value and risk heatmap, business case and ranked portfolio
  • Future workflow, agent and control designs, approved before build
  • Proof scorecard with results measured against your own baseline
  • Rollout, workforce and benefits plans
  • Control tower dashboard and agent registry once live

How it works

  1. Frame1–2 weeks: outcomes, guardrails, owner.
  2. Sense3–5 weeks: portfolio with baselines.
  3. ProveDesign, then measured proof.
  4. ScaleValue-ordered waves.
  5. SustainQuarterly control-tower review.
2 weeks · fixed feeAI Value & Readiness Sprint, credited against Frame.

Who it's for
Executives in electricity, water, gaming, education and mining, and any organisation with AI pilots that have stalled.

Decide

Oracle Fusion Reporting Assessment

Find out why finance reporting takes so long, and fix it in the right tool.

Oracle Fusion Financials ships several reporting tools, each reading a different data source. Most reporting pain comes from one tool stretched across every need: slow custom reports, stale Excel exports and statements that don't tie to the ledger.

What you get

  • Report inventory: what exists, who uses it, what can be retired
  • Tool-selection standard: one default tool for each reporting need
  • Root causes across design, data, configuration and process
  • Close-cycle impact and the hours that can be won back
  • Target reporting model with owners and a costed 90-day plan

How it works

  1. Week 1Inventory and usage; rationalise.
  2. Week 2Classify by data and output; root causes.
  3. Week 3Standard, target model and 90-day plan.
3 weeks · fixed feeIndependent of Oracle and implementation partners: delivered content first, custom build last.

Who it's for
CFOs, Financial Controllers and finance-systems leads on Oracle Fusion Financials, or moving from Oracle E-Business Suite.

Decide

Education Agent Playbook

AI agents teachers can trust, with a funded plan to get there.

School systems are under pressure to adopt AI, but must protect students, satisfy families and give teachers back time rather than add to their load. Most have pilots, but no shared plan, access model or business case a board will fund.

What you get

  • Use-case shortlist ranked by teacher time returned and risk
  • Access model from school to region to system
  • Platform options with a five-year cost
  • Child-safety and student-privacy design, built in from the first workshop
  • Board-ready business case and rollout plan

How it works

  1. Weeks 1–2Discover: workshops with teachers, leaders and IT.
  2. Weeks 3–4Design: shortlist, access model, platform options.
  3. Weeks 5–6Decide: business case, rollout plan, board briefing.
3–6 weeks · fixed feeReadiness Sprint (3 weeks) or Full Playbook (6 weeks). Includes a live demonstration of a teacher-facing agent marketplace.

Who it's for
CIOs and Directors of Digital in Catholic, independent and government school systems, and groups of independent schools.

Govern

ADM Readiness Check

Be ready for the Privacy Act's automated decision-making rules on 10 December 2026.

From 10 December 2026, organisations covered by the Privacy Act must say in their privacy policy where computer programs use personal information to make, or substantially help make, decisions that could significantly affect people. Most cannot yet list where that happens.

What you get

  • ADM inventory: every system, agent and AI tool that shapes decisions about people
  • Three-condition test for each one, with a tier and the gap against your current policy
  • ADM Exposure Statement for General Counsel to sign off
  • Draft privacy-policy wording in plain English, ready for legal review
  • Remediation plan: owner, action and date for every gap
  • 60-minute executive briefing on findings and decisions needed

How it works

  1. Week 1Find: census of decision-shaping systems and 6–8 short interviews.
  2. Week 2Test: each system against the three conditions.
  3. Week 3Close: statement, policy wording, plan and briefing.
3 weeks · fixed feeCredited in full against the Hybrid Workforce Accelerator Diagnose if you continue.

Who it's for
General Counsel, Privacy Officers, Chief Risk Officers and COOs in any organisation covered by the Privacy Act.

Govern

Agent Consulting & Assurance

Know what every AI agent is allowed to do, and prove it to the board.

AI agents are moving from pilots into real work faster than the controls around them. Few organisations can list every agent, what it can reach and who answers for it when it gets something wrong. Boards and regulators are starting to ask.

What you get

  • Agent inventory: every agent, its owner, its tools and the systems it can reach
  • Permitted-action register: an allow-list for each agent, everything else denied
  • Production gate: go/no-go criteria with named evidence and dual sign-off
  • Incident playbook: detection, the notification clock and who is told
  • Two-page board paper with a red, amber or green rating for each agent
  • Pilot verdicts: kill, fix or scale, with a 90-day plan for the top two

How it works

  1. Week 1Discovery questionnaire, interviews and the agent inventory.
  2. Week 2Permissions, controls and the 16-check production gate tested.
  3. Week 3Ratings, board paper and incident playbook handed over.
  4. ThenOptional retainer keeps ratings current.
2–3 weeks · fixed feePilot-to-Production Diagnostic (up to 8 pilots) or Agent Assurance Review (up to 5 agents), with an optional monthly retainer.

Who it's for
CIOs, Chief Risk Officers, Heads of Operational Risk and Directors of Digital in government, financial services and education.

Govern

Hybrid Workforce Accelerator

Your AI agents are part of the workforce. Manage them that way.

Agents already do real work without roles, managers or reporting, so no one is clearly accountable when one gets it wrong. The Accelerator gives each agent a graded role, a named manager and delegations it earns through evidence, and reports the digital workforce to the board next to its people.

What you get

  • Agent census and a graded register of your digital workforce
  • Operating model and governance framework, with delegations agents earn through evidence
  • Business case and board paper for the hybrid workforce
  • Policy templates: charter, code of conduct, delegations, oversight plan, ADM notice
  • Two lighthouse services running hybrid, with the first Board Digital Workforce Report
  • Manager's playbook and enablement for the people who supervise agents

How it works

  1. Diagnose4 weeks: census, maturity and ADM scan.
  2. Design6 weeks: operating model, grading, business case.
  3. Mobilise12 weeks: two services run hybrid.
  4. EmbedOngoing assurance and reporting.
PhasedEnter through the 3-week ADM Readiness Check or the 4-week Diagnose. Later phases are scoped in a statement of work.

Who it's for
COOs, Deputy Secretaries Corporate, CIOs, Chief Risk Officers and Directors of People & Culture in government, financial services and education.

Build privately

Enclave AI

Private, ring-fenced AI that stays inside your walls.

Regulated organisations want AI working on their own documents and processes, but cannot let sensitive data leave their control or depend on an offshore service they cannot audit.

What you get

  • Sovereign AI discovery: use cases, data classes and a costed design
  • Reference architecture with routing, sensitivity classes and sizing
  • Ring-fenced, governed knowledge bases that respect existing access rights
  • Security and compliance pack aligned to the ISM and Essential Eight
  • Pilot with agreed acceptance criteria, then a managed service

How it works

  1. Discover2–3 weeks; fee credited against deployment.
  2. Deploy6–20 weeks by tier, fixed price, staged.
  3. RunEnclave Managed: 12-month term, 90-day break.
2–3 weeks · discoveryDiscovery sized to your organisation and credited in full against deployment.

Who it's for
Regulated organisations in financial services, government, health, legal and professional services that need AI without data leaving their control.

Build privately

Managed Private AI

Australian private AI, managed for you, around the workflows that matter.

Data residency stops many Australian AI plans before they start, and building your own GPU platform is costly and risky if demand does not arrive. Most organisations need a governed service, not GPU-hours.

What you get

  • Assessment and benchmark of your workload against five alternatives
  • Implementation: connectors, permissions, evaluation set and training
  • Managed service in existing Australian data centres, with change control
  • Cost metering with service, compute and projects reported separately
  • Contracted exit and data-export rights

How it works

  1. Assess2–4 weeks: a decision whether or not you proceed.
  2. ImplementAgreed workflows connected and accepted.
  3. RunMonthly service with evaluations and reviews.
2–4 weeks · assessmentFixed-scope assessment and benchmark. Now forming a small validation cohort.

Who it's for
Engineering, industrial, regional and professional-services organisations first; financial services, government and health through partners.

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