Services Case Studies White Papers Blog About Our Team
IndustriesCompareFree AI Assessment → Contact Us
Enterprise AI leadership
Senior Practitioners · Not Junior Analysts

The advisors who have actually built it

Every advisor on this team has spent 15 or more years deploying production AI systems at enterprise scale. Not studying them. Not advising on frameworks. Building, debugging, and shipping them across some of the world's most demanding technology environments.

15+yrs
Avg Advisor Experience
200+
Enterprises Advised
500+
Models in Production
4
Major Firm Backgrounds
Co-Founders

Built by practitioners, not consultants

AI Advisory Practice was founded in 2022 by Fredrik Filipsson and Morten Andersen, two successful SMB entrepreneurs who used AI to build their own businesses to multimillion dollar scale before AI was something most companies took seriously. They founded this practice to give enterprises the same operator-level AI thinking they used to grow their own ventures, not the theoretical version sold by big firms.

FF
Co-Founder · AI Strategy and Enterprise Transformation
Fredrik Filipsson
Successful SMB entrepreneur · Built a multimillion dollar business with AI

Fredrik is a successful SMB entrepreneur who used AI to build his own business to multimillion dollar scale, applying AI in commercial contexts since 2022 as a core operational and competitive advantage. He co-founded AI Advisory Practice to give enterprises the same operator-level AI guidance, not the theoretical version. His advisory focus is AI strategy, use case prioritisation, and vendor selection.

He advises from direct experience making the same build versus buy decisions, facing the same data quality constraints, and navigating the same organisational resistance that enterprise AI leaders encounter daily. His writing takes a direct, contrarian stance against AI hype and focuses on what actually works in production.

AI Strategy Vendor Selection Generative AI AI Readiness Enterprise AI
2022
AI Practitioner Since
$M+
Business Built With AI
100+
Articles Published
MA
Co-Founder · AI Implementation and Technical Strategy
Morten Andersen
Successful SMB entrepreneur · Built a multimillion dollar business with AI

Morten is a successful SMB entrepreneur who used AI to grow his own business to multimillion dollar scale, then co-founded AI Advisory Practice with Fredrik Filipsson to bring that production-level experience to enterprise advisory. Having built and run AI-powered operations since 2022, he knows first-hand what AI implementation actually requires beyond what frameworks and research papers describe.

His advisory focus covers AI implementation architecture, MLOps platform selection, data strategy, and the technical governance structures that allow AI programmes to operate reliably at scale. He bridges the gap between strategic intent and technical execution.

AI Implementation MLOps Data Strategy AI Architecture AI CoE
2022
AI Practitioner Since
$M+
Business Built With AI
100+
Articles Published
Our Story

Operators first, advisors second

Fredrik Filipsson and Morten Andersen did not learn AI from a research deck. They are successful SMB entrepreneurs who each used AI to build their own businesses to multimillion dollar scale, making the build versus buy calls, fixing the messy data, and shipping models that had to pay for themselves. AI Advisory Practice exists because they kept being asked the same question by enterprise leaders: how did you actually do this?

That operator background is the difference. The advice here comes from people who have run the profit and loss on an AI bet with their own money, not from analysts theorising about other companies' deployments. Founder-led engagement, no handoffs to junior staff, and a bias toward what ships.

"We built multimillion dollar businesses on AI before it was fashionable. Enterprises do not need another framework. They need someone who has spent their own money getting AI into production and lived with the result."
Fredrik Filipsson, Co-Founder, AI Advisory Practice
Fredrik's Full Profile → Morten's Full Profile →
Specialist Bench

Domain specialists, selected per engagement

Founder-led engagements are extended with a vetted bench of senior specialists selected on a per-engagement basis. Where your programme needs depth we do not already carry in-house, we bring in a named specialist for that scope and name them in the statement of work.

A
AI Data Engineering
Senior data platform architects for AI-ready data infrastructure at enterprise scale. Azure Synapse, Databricks, Fabric, Snowflake, and hybrid cloud patterns for regulated workloads.
B
AI Governance and Regulatory
Senior advisors covering EU AI Act, DORA, NIST AI RMF, and sector-specific regulatory frameworks. Model risk, algorithmic bias assessment, and board-level AI governance.
C
Sector Depth
Named specialists in financial services, manufacturing, healthcare, public sector, retail, and professional services. Clinical informatics, HIPAA-compliant AI, and regulated deployment experience available on request.
D
AI Change Management and Adoption
Senior organisational change advisors for AI adoption programmes at scale. Workforce upskilling, operating-model redesign, and adoption measurement frameworks.
Specialist names, credentials, and references are shared at the statement-of-work stage so you can vet the exact people who will work on your engagement.
Engagement Model

How we staff client engagements

Our staffing model is designed around one principle: your organization deserves the senior practitioner on every call, not just the first one.

01
Named partner assigned at intake
Every engagement is assigned a named senior partner before work begins. That partner leads your engagement personally from assessment through delivery. No surprise handoffs after the sales call.
02
Partner access throughout the engagement
Senior partner availability is built into our engagement structure. You have direct access to your partner via scheduled working sessions, ad hoc conversations, and async review of materials. No routing through account managers.
03
Domain specialists on demand
When your engagement requires depth in a specific domain such as healthcare AI regulation or large-scale MLOps infrastructure, we bring in the relevant associate advisor. You benefit from the breadth of the practice without paying for the full bench.
04
Maximum 4 concurrent engagements per partner
Senior partners carry a maximum of four concurrent client engagements. This is a hard constraint, not an aspiration. It ensures your engagement receives the senior attention it deserves, and it protects the quality of our work.
05
No junior team members on delivery
We do not use junior analysts to reduce engagement cost and then claim senior oversight. If a deliverable is going to your organization, it was produced by a senior practitioner. This limits our scale intentionally. That is a trade-off we accept.
06
Knowledge transfer is built into every engagement
Every engagement includes explicit knowledge transfer sessions designed to leave your team more capable than when we arrived. We document decisions, build internal playbooks, and train your people. The goal is your independence from advisors, including us.
Work With Our Team

Every engagement led by a senior practitioner

Start with our free AI Readiness Assessment to understand where your organization stands, then connect with the partner best suited to your challenge.