InfinityPro.
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Process

Methodology in 5 phases.

A process proven with dozens of clients. From the audit to continuous optimization, with no surprises or hidden costs.

01

Discovery

Week 1–2

We audit your real operation: processes, tools, channels, lead leaks, typical conversations. We come out with a clear map of where AI generates the most impact.

  • Documented process audit
  • Map of lead leaks and opportunities
  • Stakeholders identified
  • ROI projection per use case
02

Architecture design

Week 3–4

We design the technical and conversational architecture: which agent, which tools, which integrations, which CRM, which metrics. Without writing code yet.

  • Technical architecture and diagrams
  • Prompts and conversational flows
  • Integration plan
  • Measurable success criteria
03

Implementation

Week 5–10

We build the system iterating with your team. Tests with controlled real traffic, adjustments, prompt refinement and tool use until the agent operates at the expected level.

  • AI agents deployed
  • Integrations in production
  • Monitoring dashboards
  • Operational documentation
04

Launch

Week 11–12

Supervised go-live. Your team gets full training; we monitor in real time the first 2 weeks to catch edge cases and optimize before scaling.

  • Team training
  • Operational playbook
  • On-call support during launch
  • Week 1 and 2 production report
05

Continuous optimization

Retainer · monthly

AI systems aren't set-and-forget. We measure, adjust prompts, add new automations and scale to more channels based on real business results.

  • Monthly executive report
  • Prompt and route optimization
  • Quarterly new automations
  • Dedicated account manager
Zoom-in

A real example per phase.

What each phase looks like with real clients: what we look at, what we deliver and how long it takes.

01

Discovery in detail

Real example

For a real estate client we mapped 6 lead sources (Zillow, Trulia, Instagram, referrals, open houses, own website), measured first-response time per source and found that 62% of leads came in after hours with no follow-up. That specific leak became the first use case to automate.

Key deliverable

We come out with a 15–25 page document that includes: a map of current processes, the 3 priority lead leaks with financial quantification, stakeholders per decision, current stack and integration gaps. If after phase 1 we decide there's no ROI, we tell you before phase 2 and refund what's unused.

Duration

2 weeks · 6–10 interviews · 1 prioritization workshop

02

Architecture design in detail

Real example

For an aesthetic clinic we defined the agent with 4 'roles': receptionist (scheduling + confirmations), triage (routes to the right specialist), follow-up (post-consultation) and reviews (structured request). Each role with its prompt, its tools and its success metrics. The client validated the prompts before we wrote a single line of code.

Key deliverable

Sequence diagrams per customer intent, an inventory of prompts versioned in git, an integration contract with each API (calendar, CRM, payment gateway), a matrix of which cases go to a human vs. AI, and the measurable criteria to validate that each flow works before launch.

Duration

2 weeks · prototypes in Claude/GPT · 1 validation demo with the client

03

Implementation in detail

Real example

We build iterating in weekly sprints. At an Italian restaurant, the first week we brought the booking agent up in shadow mode (it reads real conversations but doesn't reply), week 2 we enabled replies during off-peak hours, week 3 we scaled to all hours with handoff to staff if the AI is unsure. Each week measures the delta and adjusts.

Key deliverable

Code in your repo or in a repo we hand over with full access. Infrastructure on Vercel/Supabase with your credentials. A CI/CD pipeline with tests. A monitoring dashboard with handoff rates, accuracy and average time per conversation. There's never a black box: you can read every prompt and every decision.

Duration

6 typical weeks · 1-week sprints · demo and adjustment every Friday

04

Launch in detail

Real example

A clinic go-live: Monday we launch, Tuesday we're at the clinic for 4 hours training the front desk on how to read the inbox and when to step in, Wednesday we review the first 50 conversations with the team, Thursday we adjust 3 prompts that didn't respond as expected, Friday an executive report. Two weeks in intensive mode before moving to normal cadence.

Key deliverable

On-site or Loom training depending on a distributed team, an operational playbook with procedures for frequent scenarios (angry customer, policy change, agent error), access to 24h support for 14 days, and a report at the end of week 1 and week 2 with real accuracy, volumes and adjustment recommendations.

Duration

2 weeks · intensive on-call · 2 executive reports

05

Continuous optimization in detail

Real example

With a salons client we found in month 3 that the agent rescheduled well but didn't offer complementary services. We added contextual upsell logic (treatment + manicure in the same visit) and the average ticket rose 22% in 6 weeks. The retainer pays for the kind of findings that only appear with real volume.

Key deliverable

A 1-page monthly executive report with conversion, attribution, attributed revenue and 3 actionable findings. Continuous optimization of prompts and conversational routes. 1–2 new automations per quarter based on strategic priority. A dedicated account manager with a direct channel on Slack or WhatsApp.

Duration

Monthly retainer · report cadence on the last business day of the month

Principles

How we think.

Rigor, not magic

Every decision is backed by client data. If something doesn't work, we say so — and we redesign it.

Humans in the loop

We design systems so humans supervise what matters. AI scales, it doesn't replace.

Total transparency

Open dashboards, access to the prompts, visible logs. You own the system, you're not a hostage.

Iterate before scaling

Controlled pilot first. We scale only when metrics validate. Slow at the start, fast at the end.

Common questions

Questions about the process.

Why so slow at the start?+

Broken AI systems are expensive. Investing 4 weeks in Discovery + Design avoids spending 8 rebuilding something that doesn't fit your operation. Businesses that ask us to 'jump straight to the code' and we try historically come back to phase 1 after 6 weeks with $20k spent.

Can I cancel the Retainer?+

Yes, with 30 days' notice. When you leave we hand over code, versioned prompts, transferred credentials and a runbook so another team can run it or you can shut it down. No technical lock-in.

Do you work with my current agency/internal team?+

Often. Many clients have a CRM admin, marketing team, integration freelancers. We add the AI layer and orchestrate without stepping on anyone; your partners keep their scope.

When will I see results?+

In the Launch phase (week 11–12) the system is already in production. Measurable business results (more appointments, fewer no-shows, more qualified leads) typically in month 3, once you have enough volume to compare against baseline.

What if the AI makes a mistake with a customer?+

Every system has confidence criteria: if the agent isn't sure, it hands off to a human. Errors are logged, we review them weekly and adjust prompts/guardrails. In practice accuracy reaches 95%+ by week 3–4 and keeps climbing.

We start with phase 0.

Before quoting: 30 min of free audit. That way we confirm there's a fit before committing weeks.

Book audit