AI AUDIT · USE CASES · ROI · ROADMAP

AI Audit for companies

We map your processes, score every use case by impact and effort, and ship a prioritized roadmap with estimated cost and return.

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We work with
AI use case prioritization

Impact vs. effort · Estimated ROI

ShortlistedDiscarded
Impact
Quick winsStructuralPark
Lead qualification
L1 support
Auto reports
Legal QA
Invoice OCR
Internal translation
Effort
Shortlisted case

Lead qualification

Estimated ROI
4.2×
Timeline
6 weeks
Technical risk
Low
RAG · HubSpot · n8n
Phased roadmap
Wave-based adoption
Progress
65%
  • Phase 1 · Quick wins
    4-8 weeks
  • Phase 2 · Structural
    3-6 months
  • Phase 3 · Scale
    Ongoing
Wave-based adoption
METHODOLOGY

Discover, score, and prioritize every AI use case

Three phases to move from a list of ideas to an actionable roadmap. Business data, scoring with criteria, and deliverables your committee can sign off.

01
01 / 03

Discovery

  • Interviews with operations, support, and product
  • Process map and real volumes
  • Inventory of data, systems, and permissions
  • Catalog of candidate use cases
  • Legal constraints, GDPR, and sovereignty
02
02 / 03

Scoring

  • Scoring by impact, effort, and risk
  • ROI estimated in hours, errors, and conversion
  • Technical feasibility: data, integration, models
  • Prototype of the top-ranked cases
  • Cost · return · timeline comparison
03
03 / 03

Roadmap

  • Phased plan: quick wins, structural, scale
  • Technical and data dependencies per initiative
  • Estimated cost and timeline per case
  • Success criteria and KPIs per initiative
  • Adoption plan and model governance
VALUE PROPOSITION

AI with criteria and data

We map your processes, separate use cases with measurable return from hype, and deliver an actionable roadmap. Every recommendation carries a number, a timeline, and a risk.

Process discovery

INTERVIEWS · MAP · DATA

Interviews with operational teams and a real process map. We identify repetitive tasks, bottlenecks, and the points where an agent, a RAG, or an automation delivers measurable value.

ROI scoring

IMPACT · EFFORT · RISK

Each candidate case is scored by impact, effort, and technical risk. We estimate hours saved, error reduction, and implementation cost in concrete, traceable numbers.

Prioritized roadmap

PHASES · DEPENDENCIES · KPIS

Phased adoption plan with quick wins in weeks and structural projects across several months. Technical dependencies, data requirements, and success criteria defined per initiative.

Criteria and data in writing

FOCUS · IMPACT · METRIC

Each use case is scored with data: business impact, engineering effort, and target metric. When the best answer is a script or a standard integration, that is the deliverable.

SUCCESS STORIES

Companies that trust our team

Companies that have trusted Dinacode to decide where AI applies with criteria, before investing in development.

Logistics

Discovery with prioritized cases

Process mapping in short sprints, 12 cases identified, 3 prioritized by impact and effort, and a 9-month roadmap with cost and return quantified.

Industry

Technical fact sheets with measurable ROI

Operations audit, per-case fact sheets with field data, and a navigable PoC built in two-week sprints before any production work.

Services

Adoption plan with stakeholders

Opportunity scoring, prioritized adoption plan, and workshops with leadership, IT, and business to align expectations, risks, and success metrics.

FAQ

What they ask before signing

What we put in writing before we start.

  • What deliverables does the audit include?
    Process map, catalog of use cases scored by ROI, technical fact sheet per case, navigable prototype of the top-ranked candidates, and a phased roadmap with cost, timeline, and KPIs. All in an actionable, operational document from day one.
  • How long does an AI audit take?
    Between 3 and 6 weeks depending on size and number of business units involved. Weekly sprints with demos and progressive delivery: by the end you have a signed roadmap ready to execute.
  • What if there is no clear AI case?
    We say so. If the right answer is a script, a standard integration, or redesigning the process, that is the deliverable. We don't sell pilots without return to justify the audit.
  • Can you implement the roadmap afterwards?
    Yes. We build agents, RAG, chatbots, and automations with the same team that designs the audit. You can also execute with your team or a third party: the roadmap is actionable for anyone.
  • Who participates on our side?
    Operational leads for each process, IT and data, and a sponsor with decision-making power. Bounded dedication: 60-90 minute interviews and specific validations. The heavy lifting is on us.
TECHNOLOGIES

Technology stack

We combine operational discovery, ROI scoring, and rapid prototyping with MCP, RAG, and Anthropic and OpenAI models. Every case is validated before committing to a project.

Discovery
Mapa de procesosEntrevistasScoring ROIRGPD
Prototyping
RAGMCPLangChainPrototipos navegables
Models and integration
Anthropic ClaudeOpenAIModelos privadosFine-tuning
Deliverables
Roadmap priorizadoFichas de casoKPIsPlan de adopción

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Tell us about your project

We analyze how your project works today and identify where you can gain real efficiency with AI and software.

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