CTO Advisory Playbook: MVP to Production-Grade in 90 Days
As a CTO, your clock starts the moment users hit the MVP. This 90-day playbook turns promising prototypes into resilient, revenue-grade systems without freezing roadmap momentum.
We anchor on three tracks executed in parallel: Next.js website development services for the experience layer, MLOps consulting and deployment for intelligent features, and Web accessibility development services to unlock customers and reduce risk.
Days 0-30: Harden the MVP
Objective: stabilize, observe, and de-risk the core loop while laying pipelines that will scale.
- Foundation and observability: adopt trunk-based Git, PR checks, and a crisp DOR/Definition of Ready. Instrument OpenTelemetry, set SLIs/SLOs, and create a pager rotation.
- Next.js website development services: migrate to App Router if not already, enforce TypeScript strict mode, configure image optimization, and implement edge caching via Next.js middleware and a CDN.
- Security posture: threat-model the top three flows, enable security headers, dependency scanning, and short-lived cloud credentials. Add basic E2E auth tests.
- MLOps consulting and deployment: define an offline-first contract for models, implement feature stores, and ship a CI/CD pipeline that packages models as containers with reproducible hashes.
- Web accessibility development services: run automated checks (axe, Lighthouse), then manual keyboard and screen-reader passes. Fix color contrast, focus order, and ARIA on interactive elements.
Days 31-60: Scale architecture and data
Objective: remove single points of failure, ship the first performance budget, and graduate ML from demo to dependable.
- Edge-first web: split critical pages into server components, co-locate data fetching, and cache with revalidation. Add RUM to tie Core Web Vitals to revenue.
- Service boundaries: move heavy tasks to queues, add idempotency keys, and define API SLAs. Introduce canary deploys with automated rollback.
- Data and ML: enable model monitoring (data drift, prediction latency), shadow new versions, and add A/B harnesses. Establish a feature quality score before promotion.
- Accessibility maturity: create reusable accessible components, document patterns, and include accessibility in PR templates and Definition of Done.
Days 61-90: Production polish and governance
Objective: operationalize excellence, predictable releases, measurable quality, and compliance-ready posture.
- Release confidence: adopt progressive delivery, freeze weekly release trains, and publish a change budget. Burn down flaky tests and mandate runbooks for top alerts.
- Reliability SLOs: tie SLOs to customer promises, enforce error budgets, and conduct monthly postmortems with explicit owner actions.
- Security and privacy: automate DAST, secrets scanning, and SBOMs; add least-privilege IAM and audit trails. Prepare a SOC 2 readiness gap list.
- Cost and performance: set a performance budget per route, alert on regressions, right-size instances, and adopt async imports for non-critical bundles.
Case vignette: marketplace from demo to dependable
A B2B marketplace launched an MVP with server-heavy pages and an unversioned recommendation model. In 12 weeks, we shifted critical pages to server components, introduced ISR with 10-minute revalidation, and cached search at the edge. For ML, we containerized the model, logged features, and ran shadow traffic for two weeks before canarying. Accessibility scores moved from 68 to 98 after building a keyboard-first modal and correcting color contrast sitewide. Revenue rose 14% while infrastructure spend dropped 22% through image optimization and workload autoscaling.
Metrics that matter each week
- Experience: LCP, TTFB, CLS; p95 route time; conversion by device. Target progressive improvement, not perfection.
- Reliability: availability vs SLO, error budget burn, top 5 failing tests, mean time to restore.
- ML: data freshness, drift score, prediction latency, offline vs online AUC deltas.
- Accessibility: automated score deltas, manual issue count, percent of components covered by accessible patterns.
Risks to avoid
- Feature fever: shipping net-new features while SLOs, a11y, or model monitoring lag. Freeze scope before foundations.
- One-cloud complacency: architect to run locally and in another region; define RTO/RPO and test them.
- Underspecified contracts: for APIs and models, publish versioned schemas, SLAs, and deprecation schedules.
How to resource the sprint
Keep squads small and senior. One staff-level full-stack lead, one platform/DevOps, one data/ML engineer, and one accessibility-focused front-end paired with design. Augment with a fractional product manager and QA. If you lack these profiles, slashdev.io supplies vetted remote engineers and agency capabilities without slowing hiring cycles.
Final 90-day deliverables checklist
- Architecture: diagrammed services, failure modes, and RTO/RPO with tested disaster drills.
- Web: Next.js website development services outcomes-App Router, edge caching, CWV budgets, and shared accessible components.
- MLOps: MLOps consulting and deployment outcomes-containerized models, pipelines, monitoring, and staged rollouts documented.
- Quality: SLOs, error budgets, runbooks, smoke and load tests integrated into CI.
- Compliance and privacy: SBOM, access reviews, DPIA where needed, and audit-ready logging.
- Governance: release train calendar, change budget, and backlog with ROI-ranked bets prioritized.
