A curated collection of engagement archetypes from All Stone Tech's consulting practice. Names and identifying details are omitted by design. These represent recurring patterns across sectors including fintech, legal tech, wellness, hospitality, and local business.
All Stone Tech functions as a fractional CTO and principal technical partner — not a staff augmentation firm. Engagements are strategic, architecture-led, and delivery-accountable.
Situation: A funded startup with a broken or unstable MVP — usually built fast by a team that has since departed. The codebase is undocumented, untested, and actively losing the client confidence.
Approach: Full codebase audit. Triage by severity. Immediate stabilization of critical paths. Phased refactor with delivery milestones the client can see. Architecture documentation written as we go — not after.
Outcome: Production-ready platform delivered within weeks. Engineering culture reset. Investor-ready demos restored.
Situation: An established business running on aging infrastructure — outdated frameworks, no CI/CD, manual deployments, and growing technical debt that's slowing every new feature.
Approach: Incremental modernization. No big-bang rewrites. Strangler fig pattern where appropriate. CI/CD introduced early. New modules built to modern standards while legacy components are systematically retired.
Outcome: Reduced deployment risk, faster release cadence, and a codebase the next engineering team can actually work in.
Situation: A non-technical founder with funding, a product vision, and no CTO. Needs someone to own the technical strategy, vendor selection, hiring decisions, and architecture — without a full-time executive cost.
Approach: Fractional CTO engagement. Weekly advisory cadence plus hands-on architecture and delivery oversight. Vendor and contractor evaluation. Technical roadmap aligned to fundraising and go-to-market milestones.
Outcome: Investor-ready architecture. Hiring criteria defined. Technical risk surfaced and mitigated before it became a deal-breaker.
Situation: A local or small business with no technical staff — managing their digital presence, tools, and infrastructure reactively and expensively.
Approach: Monthly retainer model. Full technical ownership: hosting, maintenance, vendor relationships, light strategy, and advisory access. Problems get solved before the client knows they exist.
Outcome: Stable, low-overhead technical operations. Owner focuses on the business, not the technology.
Situation: A business that knows AI should be part of their product or workflow but doesn't know where to start — or has started in the wrong place.
Approach: Discovery-first. Map the actual workflow before recommending any tooling. Identify where AI creates leverage vs. where it creates complexity. Build targeted integrations with guardrails, cost controls, and human-in-the-loop checkpoints where appropriate.
Outcome: AI capabilities embedded where they create real value. Clear governance. No runaway API costs.
All Stone Tech engagements follow a structured lifecycle:
- Discovery — understand the business, the system, and the real problem
- Architecture — define the approach before writing a line of code
- Specification — document decisions, constraints, and scope in writing
- Delivery — build, review, and ship with accountability
- Handoff or Retainer — clean documentation or ongoing ownership
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