AI Enablement · Product Strategy · San Diego, CA

Find true north in AI_

Accessing AI is easy. Deploying it effectively is not.

Polaris Intelligence is an AI Enablement and Product Strategy consultancy based in San Diego. We guide your workforce, workflows, and products across five core dimensions: Capability, Process, Infrastructure, Governance, and Strategy.

Forged in cybersecurity, we design and evaluate systems for safety, security, and performance so you can ship fast and scale with confidence.

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Team expertise forged at
NSALAWRENCE LIVERMOREINSTITUTE FOR DEFENSE ANALYSESBISHOP FOXNUIX
By the numbers

Deep expertise, uncommon focus.

0+Years of AI & security expertise
0Dimensions of AI enablement
0Elite institutions behind our expertise
0%Engagements led by experts
The method

Orient. Build. Harden.

Access alone doesn't create adoption. Every engagement follows a course from your current state to an organization that deploys AI effectively and can defend how it operates.

01

Orient

// find true north

We baseline your organization across all five dimensions: capability, process, infrastructure, governance, and strategy. You get an honest picture of where AI can move your business, where it can hurt it, and a roadmap that sequences quick wins ahead of long-term transformation.

02

Build

// ship what matters

We enable your people and embed AI where the work actually happens: training designed for each role, internal champions who keep momentum, workflows wired into daily operations, and the data foundations to support them. Adoption is the metric, not installation.

03

Harden

// prove it holds

We make it safe to scale: governance and oversight policies with clear ownership, model evaluation for bias and performance, and the security review our national security pedigree demands. If it can break, you find out from us, not from your customers.

The framework

Five dimensions of AI enablement.

AI enablement fails when it's treated as a tool rollout. We work all five dimensions together, with security woven through each one, so adoption actually sticks. Click any dimension to see what's inside.

Capability Building

[01]

We build the skills, confidence, and culture that turns AI into high value capabilities.

  • Training designed for each role, from executives to analysts to engineers
  • Cultural updates that turn skeptics into practitioners
  • Safe habits taught alongside the tools, so security becomes muscle memory
Details

Process Integration

[02]

AI pays off when it lives inside your workflows, not beside them.

  • Identify which processes are strong AI candidates, and which are not
  • Embed AI into daily operations rather than bolting it on
  • Change management that drives adoption you can measure and sustain
Details

Technical & Infrastructure Readiness

[03]

Enablement stalls without foundations. We make sure your data, platforms, and controls are ready for the load.

  • Data quality, access, and governance that make AI outputs trustworthy
  • Tool and platform selection, with honest build vs buy guidance
  • Security, compliance, and access controls designed from the start
Details

Governance & Risk

[04]

Adopt AI with confidence, backed by policies, guardrails, and reporting your board, customers, and regulators can trust.

  • Manage bias, hallucination, IP, and privacy risk before it reaches production
  • Model evaluation for bias and performance across LLMs and classifiers
  • Independent validation of vendor and acquisition AI claims
Details

Strategy & Prioritization

[05]

A plan that connects AI to the metrics your business already cares about, not to the hype cycle.

  • Map AI opportunities to business metrics and measurable outcomes
  • Sequence quick wins against long-term transformation
  • ROI measurement frameworks that prove what's working and kill what isn't
  • Clear reporting for technical and executive audiences alike
Details
How we engage

Scoped engagements, tied to the framework.

Our method is how we work. The five dimensions are what we assess. Engagements are what you hire: scoped, outcome driven, and mapped to the dimensions they advance. Click any engagement to see what's inside.

AI Enablement Assessment

[01]

The natural starting point: a structured baseline of your organization with a prioritized roadmap.

  • Interviews, artifact review, and hands-on evaluation across all five dimensions
  • A scored baseline that shows where adoption will stick and where it will stall
  • A sequenced roadmap: quick wins first, transformation second
All five dimensions
Details

AI Governance Program

[02]

Stand up the policies, oversight, and reporting that let you adopt AI with confidence.

  • Acceptable use, oversight, and escalation policies with clear ownership
  • Reporting standards that make AI activity visible and auditable
  • Documentation of how AI is controlled, ready for boards and regulators
Governance & RiskStrategy & Prioritization
Details

Workflow Integration Sprint

[03]

Pick a process, embed AI into it, and prove the value. Adoption measured, not assumed.

  • Select a high value process and wire AI into daily operations
  • Train the people who run it and build the habits that make it stick
  • Measure adoption and ROI so the next sprint funds itself
Process IntegrationCapability Building
Details

Data Readiness & Analysis

[04]

Find out whether your data can support what you want AI to do, then put it to work.

  • Audit data quality, access, and governance ahead of AI investment
  • Platform and pipeline improvements to make analysis fast
  • Interpretation for executives: what the data says and what to do next
Technical ReadinessStrategy & Prioritization
Details
The practice

AI Product Strategy & Integration.

Enablement gets your organization ready to use AI. Product strategy gets AI into the product itself: deciding what to build, proving it can actually ship, and shipping it responsibly. We're technical enough not to get oversold by vendors, and product-minded enough to keep every AI feature tied to real value.

Product Vision & Roadmap

[01]

Decide which AI capabilities become features, in what sequence, and why.

  • Tie every AI feature to a business outcome before it enters the roadmap
  • Prioritization and stakeholder alignment across executives, engineering, and design
  • Sequencing that balances quick wins against platform bets
  • The discipline to say no to low value AI features
Details

Technical Feasibility

[02]

Strategic ambition meets technical reality: what can actually ship, safely, on a timeline?

  • Assess what current models, data, and infrastructure can deliver, at what cost, latency, and reliability
  • Model selection with clear eyes: build, buy, fine tune, or call an API
  • Understand inference costs and scaling behavior before you commit
  • Enough technical depth that no vendor oversells you
Details

Data Strategy

[03]

AI features live or die on data. We find out early whether yours can support the feature you want.

  • Audit data quality, volume, access, and rights before the feature is promised
  • Data governance and pipeline design that serve the product, not just the dashboard
  • Privacy and compliance awareness, especially where customer data is involved
  • Honest calls on data gaps and the fastest path to closing them
Details

Risk, Ethics & Governance

[04]

The risks that kill AI products rarely show up before launch. We go looking for them on purpose.

  • Surface bias, hallucination, IP, safety, and regulatory exposure before your customers do
  • AI risk frameworks and regulatory literacy, from the EU AI Act to sector rules
  • A red team mindset from our security pedigree: we attack the product before the world does
  • Launch criteria your executives can sign with confidence
Details

Model Evaluation Audit

[ENGAGEMENT]

An independent audit of how your models actually behave: bias, performance, and failure modes, found before your customers or auditors find them.

  • Automated bias and performance evaluation across LLMs and classifiers
  • Benchmarks against the tasks that matter to your product, not generic leaderboards
  • Independent validation of vendor and acquisition AI claims
  • Findings your engineers can fix and your executives can act on
Technical FeasibilityRisk, Ethics & Governance
Details
About

Rigor forged in security, applied to AI.

Polaris Intelligence is an AI Enablement consultancy based in San Diego, California with cybersecurity in its DNA.

Our expertise was forged in institutions where getting it wrong isn't an option: the NSA, national laboratories, and elite security firms. It was refined building the data and AI platforms behind modern investigative and attack surface products.

That pedigree is why our enablement is different. Anyone can run an AI training day. We make adoption stick across all five dimensions: people who are trained, processes that adopt, platforms that are ready, governance that holds, and strategy that pays off.

Why teams choose Polaris

  • Serious rigor: practices shaped by national security and offensive security work
  • Builders, not slideware: strategy stays connected to working production code
  • Independent & vendor-neutral: recommendations driven by your outcomes, not resale margins
  • Based in San Diego: working with clients nationwide
Michael Karres, Founder and Principal Consultant
Michael Karres
Founder & Principal Consultant

Michael spent more than two decades building and securing systems where failure was not an option: eight years at the NSA across red team and forensics work, intelligence community research at IDA, and principal engineering roles at Bishop Fox and Nuix. He founded Polaris Intelligence to bring that standard of rigor to businesses adopting AI.

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Get started

Chart your course.

Whether you're training your first teams, wiring AI into real processes, or proving your systems are safe to ship, it all starts with a conversation about where you are on the journey.

prefer email? write to michael@karres.ai