How We Work

A focused, transparent process for shipping AI that actually holds up in production.

THE PROCESS

Four steps to reliable AI.

Every engagement follows the same proven framework — fast enough to ship in weeks, rigorous enough to hold up at scale.

01
Day 1

Discovery Call

We start with a 30-minute call focused on one thing: understanding where your AI is breaking and why. No pitch — just an honest technical conversation.

  • Current AI stack & architecture
  • Where production failures occur
  • Cost and latency pain points
  • What you've already tried
02
Week 1

AI Audit & Architecture

We audit your existing system, identify the failure modes, and design the right solution — choosing models, architecture, and guardrails based on your actual needs, not trends.

  • Production failure diagnosis
  • Model & pipeline architecture
  • Cost optimisation plan
  • Delivery timeline & milestones
03
Weeks 2–4

Build & Ship

We build production-grade AI systems, not prototypes. Daily updates, fast iterations, and a relentless focus on reliability before anything goes live.

  • AI system development
  • Integration & load testing
  • Guardrails & fallback handling
  • Staging → production deployment
04
Ongoing

Stabilise & Optimise

Production is where most AI fails. We monitor, tune, and continuously cut costs — keeping your system reliable as usage grows and models evolve.

  • Performance & anomaly monitoring
  • Model cost optimisation
  • System health reviews
  • Proactive incident response
WHY PLENVO

AI specialists vs. the alternatives.

In-house hires take months and generalist agencies bolt AI on. We've been building production AI systems from day one.

AspectIn-House AI HireGeneral AgencyPlenvo
Time to Production6–12 months3–6 months3–4 weeks
AI DepthSingle hireGeneralistSpecialist
Production ReliabilityUnpredictableLowBattle-tested
Cost OptimisationRarelyNeverSystematic
ONBOARDING TIMELINE

Ship in weeks. Improve continuously.

We move fast to get you to production, then stay on as a retainer — because production AI needs continuous tuning, not a handoff.

1
Week 1

Discovery & Audit

  • Goals & success criteria
  • AI stack audit
  • Failure mode mapping
2
Week 2

Architecture

  • Solution design & model selection
  • Guardrails & fallback strategy
  • Cost & latency targets defined
3
Weeks 3–4

Build & Test

  • AI system development
  • Integration & load testing
  • Staging validation
4
Ongoing

Life in Production

  • AI outputs drift — models update, prompts degrade
  • Costs grow silently as usage scales
  • New edge cases surface that tests never caught
ONGOING SUPPORT

We stay in the system after launch.

Production AI degrades silently. We monitor, tune, and cut costs continuously — so you don't have to.

Weekly
  • Performance monitoring
  • Anomaly & cost alerts
  • Incident triage
Monthly
  • System health review
  • Cost optimisation pass
  • Model evaluation & updates
Quarterly
  • Architecture review
  • Scaling & reliability planning
  • Roadmap session

Let's make your AI actually work.

Book a discovery call. No pitch — just an honest conversation about where your AI is breaking and how to fix it.

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