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AI Advisory

From AI readiness assessment to AI activation in 90 days.

Five structured pillars take you from an AI readiness assessment through governance design to enterprise-wide AI operations. Not a strategy deck: a working system, backed by 23+ years of Oracle, NetSuite and Salesforce implementation.

Request a readiness assessment →See the Claude readiness checklist
  • 90-Day Activation
  • 5 Structured Pillars
  • 23+ Years Depth

AI Readiness Assessment

What does an AI readiness assessment cover?

An AI readiness assessment scores your organization across five areas: the business questions worth answering, the data behind them, the governance and permissions around that data, the platforms you run, and the people who will own AI in production. It takes the first 30 days of the engagement and produces an executive readiness report: a maturity score for each area, a platform-specific gap analysis for Oracle, NetSuite, Salesforce and Microsoft, a prioritized use case list, and the decisions to make before anything connects to production data.

If Claude is the first assistant you plan to connect, start with the Claude readiness checklist. It prepares one pilot on one business decision. The assessment then decides where AI goes next across the enterprise.

What the assessment scores

  • Business questions.

    Which recurring decisions would change if a trusted answer arrived in minutes instead of days, and who acts on each answer.

  • Data.

    Where the records live, who owns each metric definition, and where two reports define the same number differently.

  • Governance and permissions.

    Who may see which records, how access is approved and revoked, and what evidence an auditor can ask for.

  • Platforms.

    Oracle, NetSuite, Salesforce, Microsoft Dynamics 365 and the warehouses between them, scored for AI access today.

  • Operating ownership.

    The sponsor, data owner, technical owner and incident contact for every use case that reaches production.

Governance frameworks and checklists

The assessment uses the same frameworks we publish. Read them before the first call and the engagement starts from your answers, not ours.

Advisory Methodology

Five pillars of enterprise AI readiness

Each pillar is designed to eliminate the gaps that cause AI initiatives to stall, fail, or never leave the pilot stage.

  1. 01

    AI Readiness Assessment

    Know where you stand

    • Current AI maturity scoring across your platforms
    • Platform-specific gap analysis (Oracle, NetSuite, Salesforce, Microsoft)
    • Use case identification and prioritization
    • Executive readiness report with actionable next steps
  2. 02

    Enterprise Blueprint

    Design for enterprise-scale AI

    • Architecture design for your platform landscape
    • Data flow and integration mapping
    • Governance framework design
    • Build vs. buy recommendation with ROI analysis
  3. 03

    Process Transformation

    Embed AI into how work gets done

    • Workflow automation identification across business functions
    • Change management roadmap
    • Team enablement and training program
    • Measurable process KPIs tied to AI outcomes
  4. 04

    Data Readiness

    Build on trusted data

    • Data quality assessment across all connected platforms
    • Semantic layer design for governed AI access
    • Data governance policies and ownership model
    • Source system preparation for AI integration
  5. 05

    Portfolio Review & Optimization

    Manage AI as a strategic portfolio

    • ROI tracking framework for every AI initiative
    • Use case portfolio management and prioritization
    • Quarterly review cadence and governance rhythm
    • Scale, iterate, or sunset decision criteria

90-Day Activation

From assessment to AI in production

The planning path most programmes follow. The assessment in the first 30 days sets the scope and dates for your environment.

  1. 1Days 1 to 30

    Assessment & Blueprint

    AI readiness assessment, platform gap analysis, use case prioritization, and enterprise architecture blueprint.

  2. 2Days 31 to 60

    Design & Data Readiness

    Process transformation roadmap, semantic layer design, data governance policies, and change management planning.

  3. 3Days 61 to 90

    Activation & First Use Cases

    First AI use cases live in production. Portfolio governance established. Outcomes measured against the baseline set in the assessment.

90

Days

Assessment to activation

5

Structured Pillars

Comprehensive advisory methodology

2,000+

Implementations

Oracle, NetSuite, Salesforce, Microsoft

23+

Years

Enterprise implementation insight

Advisory + Products = Compound Value

Most advisory ends with a deliverable. Ours ends with AI running in production, because we build the products and implement the platforms our advisory recommends. Strategy, software, and implementation from one company.

FAQ

AI readiness assessment and advisory questions

What does an AI readiness assessment cover?
An AI readiness assessment scores five areas: the business questions worth answering, the data behind them, the governance and permissions around that data, the platforms you run, and the people who will own AI in production. It takes the first 30 days of the engagement and produces an executive readiness report with a maturity score for each area, a platform-specific gap analysis for Oracle, NetSuite, Salesforce and Microsoft, and a prioritized use case list.
How is the AI readiness assessment different from the Claude readiness checklist?
The AI readiness assessment covers your whole AI portfolio across every platform and ends with a prioritized roadmap. The Claude readiness checklist is narrower: a printable, self-serve preparation for one Claude pilot on one business decision. If Claude is your first pilot, complete the checklist first, then use the assessment to decide where AI goes next across the enterprise.
How is dotSolved.ai advisory different from traditional consulting?
Traditional consulting delivers strategy decks. We deliver AI running in production. Our advisory leads directly into the products we build (Apextron, Nexatron) and the platforms we implement (Oracle, NetSuite, Salesforce, Microsoft). Strategy, products, and implementation from one company.
What does the 90-day timeline look like?
Days 1 to 30: Readiness assessment and enterprise blueprint. Days 31 to 60: Process transformation design and data readiness. Days 61 to 90: First AI use cases in production with governance established. This is the planning path: the assessment in the first 30 days sets the scope and dates for your environment.
Do we need to buy Nexatron or Apextron to use the advisory?
No. Advisory engagements stand on their own. If the assessment findings point to Nexatron or Apextron, we say so and explain why; if they point to the platforms you already run, the roadmap builds on those. We recommend what fits, not what we sell.
What platforms does the advisory cover?
The advisory covers Oracle, NetSuite, Salesforce, Microsoft Dynamics 365 and the data platforms that connect them: Snowflake, BigQuery, Redshift and PostgreSQL. dotSolved advises on and implements both Oracle E-Business Suite and Oracle Fusion Cloud through its services arm, dotsolved.com, so the assessment covers either Oracle generation. Our advisory is platform-specific, not generic. Connector availability for the Nexatron product is published separately at nexatron.io/connectors.
Who delivers the advisory?
Senior practitioners with direct platform implementation experience. Not junior analysts reading from a methodology document. The same people who have delivered 2,000+ enterprise implementations across Oracle, NetSuite, Salesforce, and Microsoft.

Have more questions?

Talk to Our AI Team →

Nexatron by dotSolved Inc

Plan the rollout with Nexatron's field guides

The Nexatron team writes about the work around the product: who owns what a number means, what a security team will ask, and how to tell whether a pilot is working.

Read the rollout guides 

Rolling it out

Choosing and piloting

Ready to assess your AI readiness?

Start with a structured assessment. Know where you stand, what to prioritize, and the dates of your path to production.

Request a readiness assessment →