AI in your operations — planned, proven, then built.
Most AI fails for one reason: no plan that fits the business. We find where agents actually pay for themselves in your operation, prove you’re ready, and hand you a blueprint any team can build from.
| Step | Product | Price | Duration | You leave with |
|---|---|---|---|---|
| Scope | Strategy Session | Free | ±45 minutes | Direction and an honest fit-check — no artifact, no obligation |
| Shape | AI Readiness Assessment | From R2,500 ex VAT | 48-hour turnaround | Scored AI Readiness Profile with gap summary + debrief call |
| Shape | AI Opportunity Roadmap | Quoted upfront | 1–2 weeks | ROI-ranked automation roadmap with implementation sequencing |
| Shape | Multi-Agent Architecture Blueprint | Quoted upfront | 4–5 weeks | Portable, build-ready technical blueprint |
Strategy Session
Free
Direction and an honest fit-check — no artifact, no obligation
AI Readiness Assessment
From R2,500 ex VAT
Scored AI Readiness Profile with gap summary + debrief call
AI Opportunity Roadmap
Quoted upfront
ROI-ranked automation roadmap with implementation sequencing
Multi-Agent Architecture Blueprint
Quoted upfront
Portable, build-ready technical blueprint
What this looks like in practice
Picture a distribution company drowning in swivel-chair work. The blueprint gives it three agents: one watches incoming orders and flags exceptions, one optimises delivery routing against live constraints, one chases outstanding invoices and escalates only when a human decision is genuinely needed. The pattern is always the same — the system runs the routine, your people run the exceptions. That’s what a multi-agent system is: not a chatbot, an operating layer.
Straight answers
Which industries?
The method is industry-neutral by design — readiness scoring and workflow mapping work the same in logistics as in legal. Our delivery pedigree spans banking (FNB), retail (Edcon), events, and consumer apps. If your operation has repeatable work, it qualifies.
Why not a Big-4 firm?
The Big 4 sell AI strategy at enterprise prices, decoupled from delivery. AI-native dev shops sell builds, decoupled from strategy. We sit deliberately between: specialist multi-agent architecture at mid-market prices, written by people whose own build team picks it up next — so the plan has to actually work.
The pipeline
Strategy by ConceptLABS®. Built by Spaza.
ConceptLABS® never writes the code — we write the plan. When your blueprint is done, Spaza, our delivery team of 20+ years and 150+ shipped products, picks it up with a fixed build quote already in your hands. And because every blueprint is portable, you can take it to any team you trust. Most clients choose Spaza. None have to.
Consult-first, always.
Every engagement starts with a free Strategy Session. We understand before we recommend.
You always know the price of the next step.
Every paid deliverable ends with a fixed-price quote for the next one. No surprises, ever — the budget holds.
The blueprint is yours, always.
Every spec we produce is portable. Spaza is the default build team, never a condition.