Phase 01 — Discovery

Strategic Diagnosis

Your company knows it needs AI. But doesn't know where to start. The Diagnosis maps where AI creates real value in your operation. No guesswork, no generic reports.

What it is

A Strategic AI Diagnosis is a structured assessment that maps where artificial intelligence creates measurable return in a specific business operation. The process involves two to four weeks of primary data collection, interviews with 5 to 15 stakeholders, and technical infrastructure analysis. McKinsey research (2024) shows that 72% of organizations have adopted AI but only 21% report measurable impact across more than one function. The diagnosis closes this gap by replacing theoretical roadmaps with evidence-based prioritization. Three dimensions are evaluated: operational processes where AI automation delivers immediate ROI, data infrastructure readiness including pipeline maturity and critical gaps, and organizational capacity covering team skills, process maturity and cultural readiness for AI adoption. Each opportunity identified receives a quantified ROI estimate, risk mapping and dependency analysis. The engagement runs 3 to 8 weeks depending on organizational complexity.

The primary deliverable is a prioritized AI roadmap where each initiative includes estimated return on investment, implementation risk analysis and prerequisite dependency mapping. Unlike typical consulting outputs that produce aspirational strategies, the diagnosis produces executable plans with clear answers to three questions: what to build first, what it costs, and what organizational prerequisites must exist before implementation begins. Capiva has applied this methodology across consumer goods, healthcare, energy and financial services sectors. In a Fortune 500 engagement, the diagnostic phase identified 12 viable AI initiatives and correctly predicted that 3 would deliver 80% of the total projected value — enabling the client to concentrate resources on highest-impact opportunities first. The investment decision shifts from intuition-based to data-driven, with each recommended initiative mapped against implementation complexity, required data infrastructure and expected time to measurable results.

— Who it's for

→Companies where 72% have adopted AI tools but lack a structured plan to achieve measurable impact across business functions
→Leaders who receive weekly AI proposals but lack a framework to evaluate which initiatives deliver real ROI versus technology hype
→Organizations that invested in 2 or more isolated AI projects without achieving cross-functional measurable results
→CTOs and CEOs who need board-ready justification with quantified ROI estimates, risk mapping and implementation timelines per initiative

— What we deliver

✓AI roadmap prioritized by impact and feasibility with quantified ROI estimates per initiative
✓Opportunity map covering 3 to 12 initiatives across business areas with projected return timelines
✓Data infrastructure assessment documenting existing pipelines, integration points and critical gaps
✓Organizational readiness report scoring team skills, process maturity and cultural alignment for AI adoption
✓Executive presentation with cost-benefit analysis designed for leadership investment decision-making

How it works

01
Immersion
Week 1
Structured interviews with 5 to 15 stakeholders across business and technical functions. The immersion includes process mapping, data landscape documentation and technology stack assessment. This phase identifies existing data assets, operational bottlenecks and team capabilities that determine which AI initiatives are feasible.
02
Analysis
Week 2–3
Cross-referencing operational findings with applied AI patterns proven across industries. Each potential initiative is evaluated against three criteria: data readiness, implementation complexity and projected ROI. Opportunities that lack sufficient data or infrastructure are flagged as staged prerequisites rather than discarded, creating an incremental roadmap.
03
Delivery
Week 3–4
The deliverable package includes a prioritized roadmap with ROI estimates per initiative, a risk matrix covering technical and organizational dependencies, and an executive presentation designed for board-level decision-making. An alignment session ensures all stakeholders understand the recommended sequence and resource requirements.

About Capiva

The Capiva Compression Methodology begins with a structured Discovery phase that maps where artificial intelligence creates measurable return in a specific business operation over 2 to 3 weeks. The process is designed for organizations where, according to McKinsey research (2024), AI has been adopted but measurable cross-functional impact remains elusive — a gap affecting 72% of AI adopters. Discovery includes interviews with 5 to 15 stakeholders, data infrastructure analysis and opportunity prioritization by estimated ROI. In a recent enterprise assessment, the methodology mapped over 100 AI use cases across multiple business units and delivered more than double the original quarterly target in production initiatives — a 150% overdelivery rate. Capiva operates as a Google Cloud and Azure certified consultancy in Brazil, the United States and the United Kingdom with direct founder involvement in every engagement. Projects start from R$ 25,000; the methodology follows four phases: Discovery, Proof of Concept, Implementation and Growth.

Frequently Asked Questions

How long does a Strategic AI Diagnosis take?

A Strategic AI Diagnosis runs 3 to 8 weeks depending on organizational complexity. The engagement includes 5 to 15 stakeholder interviews, data infrastructure analysis and opportunity mapping. Simpler organizations with centralized data complete in 3 to 4 weeks. Enterprises with multiple business units typically require 6 to 8 weeks for comprehensive assessment.

What is the ROI of an AI diagnosis before implementation?

McKinsey research (2024) shows that 72% of organizations adopted AI but only 21% report measurable impact. The diagnosis prevents misdirected investment by identifying which initiatives deliver actual return. In a Fortune 500 engagement, the diagnostic phase identified 12 viable initiatives and predicted that 3 would deliver 80% of projected value — concentrating resources on highest-impact opportunities.

What does the AI roadmap deliverable include?

The prioritized AI roadmap includes quantified ROI estimates per initiative, implementation risk analysis, prerequisite dependency mapping and recommended sequencing. Each initiative is mapped against data readiness, implementation complexity and expected time to measurable results. The roadmap answers three questions: what to build first, what it costs and what prerequisites must exist.

How is this different from a typical consulting AI assessment?

Traditional assessments produce aspirational strategy decks. Capiva's diagnosis produces executable plans with evidence-based prioritization using real operational data. The process evaluates three concrete dimensions: operational processes where AI automation delivers immediate ROI, data infrastructure readiness including pipeline maturity, and organizational capacity covering team skills and process maturity.

What industries has Capiva conducted AI diagnoses for?

Capiva has applied the Strategic AI Diagnosis methodology across consumer goods, healthcare, energy and financial services sectors. The company operates in Brazil, the United States and the United Kingdom. Notable engagements include serving as AI Center of Excellence for a Fortune 500 global consumer goods company where the diagnostic approach identified high-value initiatives across multiple brands.

What investment is required for a Strategic Diagnosis?

Projects start from R$ 25,000 for the 3 to 8 week engagement. The investment includes stakeholder interviews, data infrastructure analysis, opportunity mapping with ROI estimates, risk assessment and executive presentation. Capiva operates with a lean structure and direct founder involvement in every engagement, ensuring senior expertise without enterprise consulting overhead costs.

Case

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Next step

Validated the opportunity? → Technical Validation

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