How we work
Assess
Fixed-fee diagnostic to find your highest-ROI workflow.
Build
Production build with clear milestones and sign-off criteria.
Operate
Ongoing monitoring and optimisation to keep gains compounding.
Assess. Build. Operate. Start with a discovery call.
// Your AI Systems Integrator
Production AI for real operations.
We integrate with your stack and automate high-impact workflows.
// what we build
AI systems built into your operations.
Not demos. Production-grade systems that plug into your stack and scale with your team.
// 01 — AUTOMATE
Operational Automation
Automate intake, classification, document handling, and routing so your team spends time on decisions, not admin.
// 02 — SEARCH
Enterprise Knowledge Systems
Turn internal docs, policies, CRM, and operations history into fast, reliable answers for every team.
// 03 — AGENTS
AI Agents & Reporting
Run multi-step workflows, unify cross-system data, and deliver leadership reporting with audit-ready controls.
// proof of work
Deployed. Measured. Running.
Systems in production delivering measurable ROI for real organisations.
Financial Services
Talk to a Broker
Built an AI-assisted lending workflow that extracts lender policy, evaluates borrower scenarios, and produces structured recommendations through a review-ready pipeline. Designed for speed, consistency, and operational scale.
Member Platform
TEN
Structured TEN's legal content and member delivery workflows across restricted content, forms, product setup, and publishing operations to make launches more reliable and easier to manage.
Gaming Platform
Playlobby
Led technical delivery for a broader platform rebuild, supporting new game launches, partner integrations, and commercial optimisation that drove significant growth and paid conversion.
// how we work
A 3-stage model built for operational results.
Start with a fixed-fee assessment, move to scoped implementation, then protect outcomes with ongoing optimisation and support.
Assess
We run a fixed-fee diagnostic on one workflow or bottleneck to identify the highest-value automation opportunity and map a practical implementation path.
Key deliverables
- Workflow diagnostic and baseline metrics
- Prioritised opportunities with ROI
- Technical scope and delivery plan
Low-risk first step with a clear commercial and technical decision.
Build
We deliver a fixed-scope solution for production in your environment, with clear milestones, acceptance criteria, and launch readiness.
Key deliverables
- Production-ready automation or internal tool
- Milestones, boundaries, and delivery plan
- Readiness checks, handover, and docs
Defined scope and timeline instead of open-ended consulting.
Operate
Once live, we provide operational ownership through monitoring, maintenance, and optimisation so value keeps compounding over time.
Key deliverables
- Monitoring, maintenance, and incident response
- Monthly optimisation and performance reviews
- Iteration roadmap from live usage data
Long-term operational leverage after go-live, not post-project decay.
PRICING
Built for operational outcomes
We design and deploy AI systems inside your existing workflows so the end result is usable, reliable, and easier to adopt in day-to-day operations.
- Deploy into your current stack without rip-and-replace projects
- Track quality, latency, and cost with real operational visibility
- Add guardrails and ongoing optimisation so value keeps compounding
How pricing works
1. Fixed-fee assessment
We assess one workflow or bottleneck and define the opportunity.
2. Scoped implementation
If the business case is strong, we quote and deliver a defined project.
3. Optional ongoing support
After launch, we provide maintenance, optimisation, and operational support as needed.
// trusted by
Organisations that needed systems
Bridging the gap between vision & execution
Working with Sahil was a game-changer. He was instrumental in bridging the gap between what we needed operationally and how to actually...
Read More
Ben Howen
Head of Product at Playlobby
Prioritizing What Matters Most
I've been fortunate to know Sahil for quite some time and I'm always eager to team up with him on new projects. Sahil's energy for crafting...
Read More
Mack Saraswat
Serial Entrepreneur
// faq
Common Questions
What leadership teams typically ask before engaging.
Do you build custom AI models?
Typically no. We use the best available foundation models (GPT-4, Claude, open-source alternatives) and focus our engineering on integration, reliability, and monitoring. The hard part is rarely the model. It's connecting AI to your data, your systems, and your workflows in a way that runs reliably at scale. If custom training is genuinely the right approach, we'll tell you, but it's rarely where the ROI is highest.
How do you handle data security and compliance?
Your data stays within your infrastructure. We work inside your environment wherever possible and never use client data to train models. For regulated industries we can deploy fully private, self-hosted systems. Data flow architecture is documented and approved during the Discovery phase before any system touches production data.
What if the AI makes errors?
Every system includes accuracy tracking, quality monitoring, and configurable confidence thresholds. We build human review checkpoints into high-stakes decisions. Your team always knows when the system is confident and when it's uncertain, with full audit trails for compliance.
How do you manage ongoing AI costs?
AI operating costs can scale quickly without oversight. We build cost tracking into every system from day one with per-process visibility, usage analytics, and caching strategies that minimise redundant computation. We also right-size model selection so you're not running expensive models on tasks that don't require them.
We've already invested in AI that underperformed. Can you help?
This is one of our most common starting points. Organisations build or buy AI that works in a demo but underperforms in daily operations. We audit your existing systems, identify why they're failing, and either stabilise what you have or rebuild the components that need it. You don't start from scratch.
How does this compare to hiring an AI team internally?
An internal hire takes 3-6 months to recruit, onboard, and deliver their first system. We bring a full team with production experience across dozens of AI deployments. You get working systems in weeks, clear documentation for eventual handover, and the flexibility to scale the engagement up or down as needed.
What does ongoing support look like?
We offer a post-engagement support plan at $1.5K/month for continued monitoring, performance tuning, and minor updates. Your team retains access to a dedicated communication channel with our engineers. It's designed to keep your systems healthy without the overhead of a full engagement.
What payment methods do you accept?
We accept bank transfer (USD/AUD) and crypto. Payment terms are discussed during onboarding and tailored to your procurement process.
// let's talk