PPhygitalytics

For startups & SMBs

Fractional AI alignment for startups & SMBs who want transformation, not just training.

I partner with founders and leadership teams in Automotive, Energy, and Industrial, and any small business rethinking how AI fits the operation, to turn AI ambition into measurable business change: Claude Code for engineering teams, AI security, AI readiness, Responsible AI, and AI-native transformation, under one fractional engagement.

AutomotiveEnergyIndustrialMiningConstructionSupply ChainLogisticsRetailFashionBeautyReal EstateInsuranceHealthcareTravelHospitalityE-commerceFinTechESGAuditComplianceCybersecurityHRDevOpsITSMVision / Computer VisionNL2SQLSME & small business
Claude CodeAI SecurityAI ReadinessResponsible AIAI TransformationStartup DiscoveryIdeationSolution ArchitectureProduct GuidanceAI-Assisted CodingGenAI AdoptionFractional AI AdvisorStartup AI Strategy

Full-stack startup engagement

Discovery to production, under one engagement

  • Discovery

    Understand the team, the data, and the real constraint before any tool gets chosen.

  • Ideation

    Turn a vague "explore AI" mandate into a scoped, prioritized set of use cases.

  • Solution architecture

    Agentic and GenAI system design that holds up past the demo.

  • Product guidance

    MVP to scalable roadmap, sequenced so each stage de-risks the next.

  • AI security

    Prompt injection, data leakage, and hallucination control, built in from day one.

  • Responsible AI

    Bias, governance, and audit-readiness, sized for a smaller team.

  • AI-assisted coding

    Claude Code adopted as a team practice: how work gets structured, not just typed.

Who this is for

Built for founders and operators, not big committees

If you're a startup or SME leader in the Automotive, Energy, or Industrial sector, or you run any small business exploring how to put AI and GenAI to work, this is for you. I'm especially interested in organizations focused on business transformation, not just AI training: a fractional partner in the room, working alongside your team, not a workshop that comes and goes.

  • Redesign business processes with AI

    Rethink the workflow itself, not bolt AI onto the one you already have.

  • Improve operational efficiency

    Find where AI actually removes friction, not just where it looks impressive.

  • Build AI-native workflows

    Design new processes assuming AI from day one, instead of retrofitting it later.

  • Identify high-value AI use cases

    Prioritize by business value and feasibility, not novelty.

  • Scale AI adoption across the organization

    Move from one working pilot to an org-wide practice.

I'd be happy to exchange ideas and explore how AI can create measurable business value together.

Book a free call →

Claude Code, for teams

Not about using an AI tool while coding

For a startup or SME engineering team, Claude Code training isn't a tips-and-tricks session. The focus is on changing how the team thinks: how they structure work, design solutions, and apply AI at the product and project level, not only individually, so velocity compounds across the whole team, not just in one engineer's editor.

Want Claude Code adopted as a team practice, not a personal habit?

Ask about a session →

AI security

The same production risks, at any size

A startup or SME shipping AI features fast usually has less of a safety net around prompt injection, data leakage, and hallucination control, not less exposure to them. Full workshop and risk detail lives on the Responsible AI page.

Prompt injection, data leakage, hallucination control, and more.

See AI security on Responsible AI →

AI readiness

Know where your workflow actually stands

Before committing budget to a build or a vendor, score your team's AI readiness in five minutes: data availability, process maturity, and where the highest-value use case is actually hiding.

Not sure where your workflow sits yet?

Take the AI Readiness Scorecard →

Responsible AI

Audit-grade governance, sized for a smaller team

Co-authored the STARED framework with AuditOne, covering Security, Technical Assessment, Regulatory Compliance, Ethics, and Data Governance, the same depth used to audit production AI systems, scoped down to what a startup or SME actually needs before a customer or investor asks about it.

S
Security
T·A
Technical Assessment
R
Regulatory Compliance
E
Ethics
D
Data Governance

Audit, red-teaming, evaluation tooling, and governance detail.

See the Responsible AI page →

AI transformation

From one AI pilot to an AI-native operation

A structured path from reverse KT and team capability assessment through paired development and organizational alignment, the same program run for 25-person product teams, adapted to a startup's pace instead of an enterprise's calendar.

See the full AI-native transformation program

View AI Native Transformation →

Book me

If this resonates with your current priorities

Feel free to connect or send a message. A free 30-minute call is enough to place where your team stands and what the first useful step looks like, no charge for the conversation, and no charge for training alone once we start.

Let's build AI that creates real business value for your team

Claude Code, AI security, AI readiness, Responsible AI, and AI-native transformation, scoped to a startup or SME, not an enterprise budget.