AI visibility and product engineering. Connected from evidence to delivery.

We improve your visibility in AI-generated answers, then build the products, data platforms, and AI agents needed to act on that evidence.

One accountable path from the first audit through delivery, rollout, and handoff.

Four delivery services. One connected system.

AI Visibility

Become easier for AI systems to find, understand, and select.

Measure how the brand appears across priority buyer questions, trace the sources shaping those answers, and improve the facts, pages, and authority behind the result.

Included focus

  • Visibility audits and answer analysis
  • Entity, content, and technical foundations
  • Optimization and repeat monitoring
Explore AI Visibility

Product Design

Ship the product—not just the possibility.

Turn a business case into a product people can understand, use, and operate, with strategy, design, engineering, and release planning held together.

Included focus

  • Product strategy and validation
  • UX and interface design
  • Full-stack product engineering
Explore Product Design & Engineering

Data & Cloud

Give intelligent products dependable foundations.

Create the pipelines, models, interfaces, and cloud architecture that keep operational data usable, observable, and ready for AI.

Included focus

  • Data platform and pipeline design
  • Cloud architecture and integration
  • Quality, access, and observability
Explore Data & Cloud

AI & Agents

Make AI useful inside real work.

Design agents and AI-assisted workflows around a clear decision, trusted context, controlled actions, and a measurable operating result.

Included focus

  • Agent strategy and workflow design
  • Retrieval and knowledge systems
  • Evaluation, governance, and rollout
Explore AI & Agents

What leaves the engagement

Useful work in production. Clear ownership after handoff.

Every engagement is shaped around the business decision and the operating reality—not a fixed menu of fashionable technology.

Outcome

A defensible direction

A clear problem frame, tested assumptions, explicit tradeoffs, and a roadmap tied to the outcome.

Outcome

A working system

Production-ready software, data flows, interfaces, integrations, checks, and operating documentation.

Outcome

An ownable handoff

Decisions, source code, system knowledge, and next priorities remain visible to the team responsible for the work.

Owned local pet-care R&D

A live local-service portfolio used as a research and development environment.

Four owned pet-care websites provide a controlled R&D environment grounded in real local demand. Search, AI-answer, phone, and email evidence is shown below. This is first-party field evidence, not client work.

Google clicks
443
Three months to 13 Aug 2026
Search impressions
9,454
Four domains · same search window
AI answers reviewed
36
15 Aug 2026 · Three answer engines
Local care enquiries
Daily
Calls and email care requests
Recommendation visibility by brandShare of monitored answers in which the brand appeared

Tails & Trails

81%
Tails & Trails: 81% recommendation visibility

The strongest combined search and answer-engine footprint in the portfolio.

  • 243 clicks · 4,091 impressions
  • 40% share of voice · 33 supporting-source retrievals
  • 12 AI-referred sessions in 30 days

Salty Paws

72%
Salty Paws: 72% recommendation visibility

Strong visibility, with a clear entity-confusion problem to resolve.

  • 140 clicks · 3,404 impressions
  • 40% share of voice · 34 supporting-source retrievals
  • A namesake domain appeared 11 times

Jurassic Barks

28%
Jurassic Barks: 28% recommendation visibility

Answer visibility appeared before a conventional organic ranking footprint.

  • 17 clicks · 436 impressions
  • 11% share of voice · 9 supporting-source retrievals
  • No Portugal top-100 keywords in third-party rank tracking

Let’s Paws Together

28%
Let’s Paws Together: 28% recommendation visibility

A distinct community role is visible, but source ownership remains weak.

  • 43 clicks · 1,523 impressions
  • 7% share of voice · 13 supporting-source retrievals
  • More citations need to resolve to the owned domain

Where we fit

For teams with a real operating problem—not an AI theatre brief.

We are most useful when the work affects a customer journey, an internal workflow, a critical data path, or a product that must survive contact with daily use.

Enterprise teams

Modernize a workflow or platform without losing sight of governance, integration, and adoption.

Product companies

Add AI-native capability while protecting product clarity, reliability, and customer trust.

Operations leaders

Reduce manual coordination where people currently move information between disconnected systems.

Founding teams

Turn a strong product thesis into a focused, testable, and ownable first release.

Ways to work together

Choose the level of ownership the problem needs.

Use a focused audit to get clarity, a delivery engagement to ship, or an embedded partnership when the system needs continuous improvement.

AuditDecide before you build

Frame the problem, inspect the current system, test the critical assumptions, and leave with an ordered plan.

Best when the opportunity is real but the route is still uncertain.

Scope an audit
DeliveryOwn the path to production

Bring strategy, design, engineering, data, and rollout into one accountable delivery engagement.

Best when the work crosses disciplines or internal ownership is fragmented.

Discuss delivery
LeadershipAdd fractional executive ownership

Bring in senior marketing or technology leadership to connect strategy, teams, partners, investment, risk, and delivery without making a full-time hire.

Best when important decisions cross several owners or the company is between leadership stages.

Explore fractional leadership

How we work

Keep judgment close to implementation.

The people defining the system stay connected to the people building and reviewing it. Market evidence, product decisions, data foundations, and operating ownership remain connected through delivery.

01

Start with the constraint

We define the decision, user, system boundary, and evidence needed before choosing the technology.

02

Prototype the risk

The first build tests the assumption most likely to invalidate the larger plan.

03

Design for operation

Permissions, failure states, review paths, observability, and ownership are part of the product.

04

Transfer the context

The handoff includes the reasoning and operating knowledge behind the system, not only the files.

Meet the team

A conversation before a proposal

Tell Henry what is getting in the way.

Share the situation, the decision that is stuck, and what must improve. In 15 minutes, you can decide whether there is a sensible next step.

FAQ

Questions buyers ask before they start

What does Executive Intelligence do?

We improve how brands appear in AI answers and design AI agents, data and cloud systems, and AI-native digital products. We can start with a focused audit, own a production delivery, or work as an ongoing partner.

Do we need a fully defined project before contacting you?

No. A clear business constraint is enough. The first stage can define the users, workflow, system boundary, technical risks, and sensible delivery sequence.

Can you work with our internal team?

Yes. We can own an agreed workstream, lead a cross-functional delivery, or supply the product, data, and engineering context your existing team needs.

Do you only build AI agents?

No. Agent work often depends on data platforms, product interfaces, cloud systems, integrations, and operating controls. We handle those connected parts as one system.

Can you help us decide what to build first?

Yes. An audit can map the current system, test the highest-risk assumption, and define the smallest delivery that creates useful evidence.

Where are you based?

Executive Intelligence is based at 5432 Geary Blvd, Unit 330, San Francisco, CA 94121. You can reach the US office at +1 (510) 406-4876 or the UK office at +44 7856 069383, and we can work with distributed client teams.