Our Process: From Ambiguity to Production — Fast - How I Work
We’ve stripped away everything that makes traditional consulting slow: six-month discoveries, slideware pilots, and hand-offs that never land. Instead, we ship working systems early, measure what matters, and scale what proves value.
Build real things. Ship early. Learn fast. Scale what works.
Discovery Sprint (Week 1)
Turn ambiguity into a flight plan — and ship a real prototype.
In a focused, one-week sprint we align on outcomes, map constraints, and prove feasibility with a working slice. We use Evidence-Based Management to anchor everything to business value: cycle time down, throughput up, risk reduced.
Discovery outputs aren’t 200-page PDFs — they’re running code, production-ready patterns, and a clear go/no-go backed by data.
What you get:
- Production Constraints Audit (people, process, tech)
- Architecture blueprint & data map
- Risk register with mitigation plan
- Working proof-of-concept in your environment
- ROI model & go/no-go decision backed by evidence
Build Phase (2-Week Sprints)
Radical transparency meets rapid delivery.
We work in tight, two-week sprints with visible progress and clear outcomes. You’ll see working software from Sprint 1 — in your repo, behind your auth, with tests and telemetry.
- Sprint 1: Core service/pipeline skeleton, baseline CI/CD, first integration
- Sprint 2: Feature expansion, UX flow, test automation gates
- Sprint 3: Performance hardening, observability, security scans
- Sprint 4: Production cutover playbook, docs, training & handoff
Quality gates by default:
- Unit, API, and UI tests (Playwright/Pytest/Postman) in CI
- Performance/soak tests wired to pre-prod environments
- SAST/DAST security checks and dependency hygiene
- Observability: logs, metrics, traces, alert runbooks
- Compliance checklist (audit artifacts auto-generated)
Definition of Done: working feature, merged and deployed behind a toggle, instrumented, documented, and demoed.
Scale & Optimize (Ongoing)
From first landing to a reliable production run.
After launch, we tune for scale and cost, expand to adjacent workflows, and transfer full ownership to your team — no lock-in.
- SLIs/SLOs defined and monitored (latency, error rate, uptime)
- Capacity planning, load testing, and disaster-ready failover
- FinOps guardrails: cost budgets, usage dashboards, autoscaling
- Playbooks & runbooks for operations and on-call
- Enablement: workshops, pairing, and role-based training
Why This Process Works - Deep expertise, flexible delivery, measurable results
Vectorworx.ai was founded in 2024, but it stands on decades of delivery. The same discipline that shipped high-stakes automation now ships AI-ready systems — quickly, safely, and without drama.
Manage complexity without bureaucracy. We apply just enough structure to keep quality high and lead time low. Visibility is default: every commit, CI run, and decision is in the open.
Value-driven decisions. Features aren’t “cool” unless they move a metric. We instrument outcomes and let the numbers decide.
Engagement Models
- Embedded Consultant. Hands-on technical lead inside your team. Ideal when you have talent in place and need senior guidance to accelerate.
- Project Lead. We own delivery end-to-end, coordinate stakeholders, and hand back a production system with docs, tests, and training.
- Hybrid Approach. We lead the early sprints, then transition ownership while staying on for enablement and governance.
The Bottom Line
Clients don’t hire us for a process — they hire us for outcomes. The process is how we get you there in weeks, not quarters.
Ready to see it in action? Start with a one-week Discovery Sprint and put working software in front of stakeholders, fast.
From Runway to Production Altitude in Weeks
Ideas taxi. Systems fly.
Skip pilot purgatory. Book a free strategy session to spot high‑impact automation, get a realistic timeline, and see ROI ranges you can defend—no slideware, just a flight plan tailored to your stack and constraints.
Unlike traditional AI consultants who deliver pilots that never take off, we build systems that reach cruising altitude—and stay there—with observability, guardrails, and ownership transfer baked in.
Direct Flight Path
No layovers in pilot purgatory—production deployment in 4–6 weeks (typical).
Flight‑Ready Systems
Pre‑flight CI/CD + tests, guardrails & observability, zero‑downtime rollout with rollback.
Core Expertise:
Typical 6‑Week Journey:
Senior Manager
Debi Lane, Irdeto (Secure Digital Delivery Platform)
“Philip quickly developed highly efficient processes that can keep pace with our new development, mastered new tools and technologies, and forged excellent working relationships with our system architects and principal engineers“
Get Your Production Flight Plan
30‑minute deep dive, 3 takeaways guaranteed
- Identify 1–3 automation opportunities with ROI ranges (visible in month 1, typical)
- Architecture + timeline: 4–6 weeks (typical)
- Next steps you can act on tomorrow
Enterprise Safeguards
- Private models (AWS Bedrock / Azure OpenAI), RBAC & audit logs
- Data minimization & policy‑backed prompts; compliance by design
⚡ Only 3 spots left this month
Usually booked 2–3 weeks out
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