You can't start a 🔥 without a sparque*
Is your engineering team actually using AI? Not Copilot autocomplete — real, structured, agentic development that multiplies every engineer on your team. Most teams aren't there yet. The ones that get there first will be very hard to catch up to.
Free 3-minute assessment · No credit card required
Where do most teams land?
Why Teams Fall Behind
Most teams think they're further along
than they actually are.
AI tooling is everywhere. A structured AI practice is rare. The difference between the two is what separates fast-moving teams from everyone else.
Stage 2 isn't AI adoption
Having Copilot installed is a starting point, not a strategy. While your team autocompletes individual lines, others are running structured agentic pipelines across their entire delivery process.
Individual gains don't compound
When every developer uses AI differently, productivity improvements stay personal. They never multiply across the team. Without a shared practice, your ceiling stays low.
The gap is widening now
Teams investing in structured AI practices today will have months of compounding lead time by end of year. That lead becomes structural — and structural advantages are very hard to reverse.
You can't improve what you don't measure
Without a maturity model, you don't know where you are, what good looks like, or how to set a target. Most teams have no way to benchmark their AI practice against anyone.
Sparque's Framework
The 8 Stages of Agentic Engineering
Sparque's maturity model for AI-driven software delivery. Most teams sit at Stage 2–4 when they first assess themselves. Stage 6 is where the velocity gap becomes permanent.
Manual
Traditional development
No AI tools. Development relies entirely on human skill and established processes. Highest repeatability through human discipline alone.
Assisted
Individual autocomplete
AI autocomplete tools adopted individually (Copilot, Cursor, Tabnine). No team coordination or shared standards. Quality depends on who's prompting.
Augmented
Chat-based AI help
Developers actively use AI chat for code generation, debugging, and review. Still ad hoc. No shared patterns, no governance, no consistency.
Collaborative
AI as pair programmer
AI acts as an active design and coding collaborator. Teams informally share prompt patterns. Output quality improves but remains ungoverned.
Structured
Team-wide AI conventions
Documented AI standards, shared context, and team-wide prompting patterns. AI used across design and implementation. Consistency is improving.
Pipeline-Driven
Defined multi-stage workflow
Explicit stages from requirements to deployed code: intake → analysis → design → generate → test → review. Repeatable, teachable, improvable.
Governed
Human gates & full audit trail
Human review at critical junctions. Versioned design artifacts. Full audit trail from intent to code. SPDD methodology. Ready for regulated industries.
Autonomous Scale
Org-wide AI delivery
Multi-agent orchestration at team and org scale. Self-healing pipelines. Governance built into the delivery fabric. AI-first software organisation.
What Sparque Offers
Start where you are. Get where you need to be.
Agentic Engineering Guidance
For engineering leaders who know their team needs to level up — and want to do it deliberately, with a clear framework, instead of hoping it happens organically.
- ✓Self-assessment to baseline your team's current stage
- ✓Tailored roadmap from your current stage to Stage 6+
- ✓Hands-on workshops and structured adoption sprints
- ✓Methodology coaching: SPDD, REASONS Canvas, review gates
- ✓Ongoing advisory as your practice matures
Kairos Platform
SaaSA governed eight-stage AI pipeline that any software team can operate. From requirements intake to deployed code — auditable, repeatable, and compliance-ready.
- ✓REASONS Canvas: versioned intent artifact per unit of work
- ✓8-stage pipeline: intake → analysis → design → generate → test → security → verify → evaluate
- ✓Human review gates at the three highest-risk junctions
- ✓Bring Your Own Keys — use your own Anthropic / OpenAI account
- ✓Full audit trail from requirement to deployed code
Kairos Platform
A governed pipeline, not a coding assistant
Kairos operationalises Structured Prompt-Driven Development at team scale. It replaces ad hoc AI usage with an eight-stage pipeline where humans stay in control at every critical junction.
The Eight-Stage Pipeline
REASONS Canvas
Every unit of work is governed by a structured Prompty file capturing Requirements, Entities, Approach, Structure, Operations, Norms, and Safeguards. It's versioned, human-reviewable, and maintained in sync with the code it governs.
Bring Your Own Keys
Connect your own Anthropic, OpenAI, or Mistral API keys. Kairos uses them; you pay providers directly. This eliminates Kairos's LLM cost liability and gives you full control over your AI provider relationships.
Human Review Gates
Three mandatory human review junctions: after analysis, after canvas approval, and after final evaluation. The system cannot auto-approve a gate — human sign-off is architectural, not procedural.
Full Audit Trail
Every stage produces a traceable record: what was intended, what was generated, who approved it, and when. When AI-generated code causes an incident, the audit trail is complete.
Simple subscription pricing · 14-day free trial at Growth limits
Starter
50 tasks/mo
3 seats
Small teams, evaluation
Growth
300 tasks/mo
15 seats
Core product tier
Enterprise
Unlimited
Unlimited
Regulated industries & large teams
Self-Assessment
Where does your team actually stand?
5 questions · 3 minutes · Free report with your stage and next steps
Find out where you really are.
Most teams overestimate their AI maturity by 2–3 stages. Answer 5 honest questions and we'll tell you exactly where you stand — and what the highest-leverage next step is.