Fromfirstaudittoproduction rollout, in seven steps.
The process below is how every Mindora engagement runs — from the first business consultation to ongoing support after launch. Each step has a deliverable, a checkpoint, and an exit criterion before we move on.
Step 01 · Day 1–3
Business Consultation
We map operations, interview stakeholders, and inventory current tools, repetitive tasks, and the metrics you want to move.
Discovery deck + scope memo
Understanding your operations, pain points, and automation goals.
Step 02 · Day 3–7
Workflow Analysis
Every recurring task is plotted with frequency, cost, and AI-fit score. We rank automation opportunities by ROI.
Workflow audit map
Identifying repetitive tasks and automation opportunities.
Step 03 · Week 2
AI Strategy Development
Selected stack (AI provider, automation engine, CRM, hosting), phased delivery plan, and the success metrics for each phase.
AI roadmap + architecture
Creating a customized AI transformation roadmap.
Step 04 · Week 2–5
Development & Integration
Iterative builds with weekly demos. Integrations live in staging by mid-cycle so your team can poke holes early.
Working systems
Building and integrating intelligent AI systems.
Step 05 · Week 4–5
Testing & Optimization
Conversation accuracy, workflow throughput, edge-case coverage, and load behavior tested against the success metrics.
QA + tuning report
Testing workflows, performance, and automation accuracy.
Step 06 · Week 5–6
Deployment
Cut-over to production with a documented runbook, monitoring dashboards, and a rollback path.
Live system + runbook
Launching systems into live business environments.
Step 07 · Ongoing
Ongoing Support
Optimization passes, model upgrades, and expansion to adjacent workflows — at whatever cadence your business needs.
Monthly health reports
Continuous optimization, upgrades, and maintenance.
Most engagements start with a free 30-minute audit.
You walk away with a written automation opportunity map — yours to keep, whether or not we build the system together.