You've adopted AI at the individual layer. The next step isn't more tools — it's orchestration. AI agents that take action, talk to your systems, and run multi-step workflows end-to-end. Built on the same security foundations as our cyber security practice.
Most businesses are stuck at stage two. The value is at stage four.
Four stages. Most Australian businesses sit at stage two. The economic upside lives at stages three and four. That's where we work.
01
Individual AI Tools
Staff using ChatGPT, Copilot, AI scribes, individual assistants.
Most arrived here in 2023–2024.
02
Departmental AI
Marketing automation, AI customer support, AI sales tools — function-by-function.
The current ceiling for most.
03
Process Automation
AI woven into business processes — intake, triage, qualification, decisioning.
Where most businesses get stuck.
04
Agentic Orchestration
Multi-agent systems running end-to-end workflows across functions, with human-in-the-loop guardrails.
Where FortNynja builds.
The gap between stages two and four is where AI consultancies fail. We're built for stage four.
Protect · Baked In
Security is the substrate, not the sales pitch.
Every agent inherits the security posture of our cyber security practice. Prompt injection defences. Identity controls. Audit trails. Data residency. Compliance to APRA CPS 234, the Privacy Act, ISO 27001 and the AI Risk Management Framework. For CISO and CTO buyers who want the depth — AI red-teaming, MLSecOps and AI governance — see our Cyber Security practice. For everyone else: we don't build agents that pass the demo and fail the audit.
We don't sell point solutions. We build the orchestration layer that lets your agents work together — across systems, departments and decisions.
AI Strategy & Roadmap
Map where you sit on the AI curve and where you can credibly get to. Costed, sequenced, with change management baked in.
AI Agent Design & Build
Custom multi-agent systems built for your workflows, your data, your business logic. Production-grade, not prototype.
Process Automation & Workflow Integration
Turn the knowledge your business has encoded with AI into running automation — across CRM, scheduling, communication, payments.
AI-Native Data Insights
Natural-language interfaces over your CRM, financial and operational data. Ask questions, get answers, surface insights.
AI Governance & Managed Operations
The ongoing capability to run, monitor and improve agents safely — at the standard your board and regulators expect.
Proof
Built in production. Audit-defensible.
Two patterns shipped. The architecture travels — same approach handles intake at a clinic and lead qualification at a mortgage broker.
Industry · Allied Health
An agentic AI front-of-house, proven in production.
Multi-agent system handling intelligent triage, automatic referral processing, pre and post-operative call cycles, and intake automation — with HITL safeguards on clinical decisions. Replaced traditional clinic reception at scale.
Call handling
4.2 min → 1.8 min
First-call resolution
73% → 91%
Staff productivity
high burnout → 45% increase
Annual savings per mid-sized clinic
$75k–$100k
Industry · Financial Services
Lead qualification and lifecycle — without growing the team.
Multi-agent system for an Australian financial services business across mortgages, insurance and lending. Lead qualification, document collection and verification, compliance-aware communication, lifecycle management — integrated with the existing CRM and licensed-credit workflow.
Inbound response time
4 hours → under 5 minutes
Qualified-lead-to-booking conversion
+38%
First-pass compliance documentation
94%
Team capacity freed for advisory work
30+ hours/week
Engagement details confidential. Reference conversations available during discovery for qualified prospects.
Engagement Tiers
Three engagement scales.
From scoped pilot to full agentic orchestration.
Starter
Starter
Single agent for a single high-value workflow. 6–12 weeks. Fixed scope, fixed fee.
Single intake agent · Lead qualification pilot · Document parsing
Growth
Growth
Coordinated agent programme across multiple workflows. 4–9 months. Multi-agent architecture with shared orchestration.
Front-of-house programme · Sales + lifecycle agents · CRM-integrated suite
Enterprise
Enterprise
Full agentic orchestration. 9 months+, often multi-year. Production agents, managed governance, continuous evolution.
Enterprise agentic platform · Managed AI operations · Sovereign AI deployment
Pricing is engagement-specific. Most Starter pilots run mid-five to low-six figures. We quote precisely after discovery.
Start Here
One discovery call. Then a roadmap your CFO can defend.
30 minutes with a senior consultant. Bring the workflow you've been thinking about. We'll tell you what's possible, what isn't, and where the ROI lives.
Australia · New Zealand · Singapore · Hong Kong · Malaysia · Indonesia
Our AI Agentic practice extends across the broader Asia Pacific. Data residency and regulatory configurations scoped per engagement.
Common Questions
Before the discovery call.
We're already using AI tools across the business. Why engage a firm like FortNynja?
Most businesses are at stage two of the maturity curve — function-by-function AI. The economic upside lives at stages three and four, where AI is woven into business processes and orchestrated across functions. That's a different build. It needs systems thinking, multi-agent architecture, governance and HITL design — not another point tool.
How is this different from buying an off-the-shelf AI product?
Off-the-shelf agents work well for commodity workflows where your business is interchangeable with everyone else's. They struggle where your real value lives — the exceptions, the integrations with your systems, the audit trail your regulator needs. We build for what's specific to you.
What does a pilot look like and what does it cost?
A Starter pilot is a single agent solving a single high-value workflow. 6 to 12 weeks, fixed scope, fixed fee, mid-five to low-six figures depending on integration complexity. The pilot also produces the architecture decisions you'll need for Growth-tier expansion.
How do you handle data privacy and AI risk?
Every engagement aligns to the AI Risk Management Framework, Australia's Voluntary AI Safety Standard, and relevant industry frameworks (APRA CPS 234 for financial services, the Privacy Act and Notifiable Data Breaches scheme for personal data). Data residency, retention and model training stance are explicit at scoping.
Will agents replace our staff?
Not directly. The pattern is that agents absorb the high-volume, low-judgement work — intake, triage, follow-up, qualification — and free your staff for the higher-value work they were hired for. The businesses that win with agents are the ones that reinvest the freed capacity, not the ones that try to shrink headcount.
What if our processes aren't fully documented?
That's the common case. We work with businesses that have mature processes informally but haven't codified them. Our Strategy & Roadmap engagement includes process mapping — agents need clean process logic, so we surface it before we build.
Can you integrate with our existing systems?
Yes. Modern agentic architecture is fundamentally about tool integration. We integrate with the major systems (Salesforce, HubSpot, Microsoft Dynamics, Xero, MYOB, Cliniko, Halaxy, custom platforms via API) as standard scope.
How do you measure whether the agent is working?
Every agent has a defined success metric from scoping. For intake agents, it's resolution rate and routing accuracy. For lead qualification agents, it's conversion. For lifecycle agents, it's retention or renewal. We instrument those metrics from day one and report continuously.
