Expert Claude by Anthropic

Our Vision

"Every revolution has its blind spots.
Those who made the finest candles
the day electricity arrived."

Ashford & Sterling, 2026

The precedents

We have seen
this before.

2007
Nokia
40% of the global mobile market. Six years later: zero.

They made the best phones in the world. They didn't understand that the game had shifted from hardware to software. The iPhone wasn't a better phone — it was a different category.

2010
Blockbuster
Declined to acquire Netflix for $50 million. Netflix is now worth $250 billion.

9,000 stores. 84,000 employees. A household name. They looked at streaming and saw a niche. The market saw the future.

2012
Kodak
Filed for bankruptcy. They had invented digital photography in 1975.

They held the patent. They had the technology. They buried it to protect film revenue. The company that invented the future chose to fight it.

The pattern is always the same. The leaders had the resources, the clients, the brand. They didn't have the understanding that the rules had changed.

Our methodology

The 360° Approach

AI visibility does not exist in isolation. It is the top layer of a pyramid. Without solid foundations, AI systems cannot properly crawl, understand, or cite your content. Our methodology addresses all three layers.

Layer 3 — AI Perception (GEO) What we measure
Layer 2 — SEO Fundamentals What we audit
Layer 1 — Technical Foundations What we diagnose
Layer 0 — Digital Foundations What we build

No one else connects all four layers. SEO agencies cover layers 1–2 without AI. AI consultants cover layer 3 without foundations. Traditional web agencies build Layer 0 without understanding its impact on AI visibility. Ashford & Sterling delivers the complete picture — from your digital foundations to your AI perception.

The tipping point

This is not a trend.
It's a transfer of authority.

2 months
For ChatGPT to reach 100 million users
Instagram took 2.5 years. Netflix took a decade.
-25%
Drop in traditional search engine volume by 2026
Gartner, 2024 — due to AI chatbots and virtual agents
90%
Of B2B purchases intermediated by AI agents by 2028
Gartner Strategic Predictions, 2025 — $15 trillion in B2B spend
400M
Monthly active users on ChatGPT alone
OpenAI, February 2025 — and growing

Search engines used to direct people towards your answers. Generative AI is the answer. If you are not inside that answer, you do not exist.

March 2026 — a new threshold

ChatGPT has introduced native payments. Users can now discover, compare and purchase products without leaving the conversation. The AI no longer just recommends — it sells. Google, Microsoft and Meta are building equivalent capabilities. AI visibility is no longer a reputational issue. It is a commercial one.

The new rules

David vs Goliath.
Size is no longer the advantage.

63%
Of the enterprise AI market captured by AI-native startups
Menlo Ventures, 2025 — $2 revenue for every $1 from incumbents
20 months
For an AI startup to reach $30M annual revenue with 15–20 people
Traditional SaaS: 60+ months and 50–70 employees for the same milestone

A team of 50 with the right AI models now produces the output of an organisation of 500. The competitive advantage is no longer headcount — it's the speed at which you integrate intelligence into every layer of decision.

Our conviction

Measure first.
Then act.

Three decades of disruption

Our founders have been at the frontier of every major technology wave since 1994 — commercial internet, mobile, cloud, social, now AI. They have watched market leaders become invisible in 18 months because they missed the new point of entry. Ashford & Sterling was born from that pattern recognition.

Rigour before action

Before correcting your AI visibility, you need to measure it with precision. Not with a dashboard. Not with an automated tool. With a structured, independent diagnostic that tells you exactly what six major AI platforms say about your organisation — and why.

Beyond the report

We don't leave you alone with a PDF. We identify the strategic levers, then we implement Claude into production alongside you, and can also work with your internal IT team or external providers. No IT department? No reliable digital partner? We become your digital foundation — creating or rebuilding your web presence so it's ready for the AI era. Because seeing clearly is only the first step — acting decisively is what creates the advantage.

Intellectual honesty

Goldman Sachs acknowledged in early 2026 that AI had added "basically zero" to US GDP in 2025. The impact is real — but it's ahead of us, not behind us. We don't sell hype. We sell clarity. The organisations that position themselves now will capture the value. The others will endure it.

What we are

An AI-native firm.
Not a firm that dabbles in AI.

An AI-native company is not a traditional business that uses a little artificial intelligence. It is an organisation built with AI as its DNA — at the core of its product, its processes and its strategy. Ashford & Sterling is that company: we know, first-hand, the advantages of the AI we prescribe to our clients, because we run on it ourselves.

The native AI advantage

Technology drives every outcome

Every business result is now powered by technology. Leaders at the frontier have internalised this and rebuilt their operations around it, rather than treating AI as a side project.

Continuous reinvention beats radical transformation

AI-native organisations don't wait for a single disruptive overhaul. They reinvent continuously — small, compounding changes that keep them ahead, quarter after quarter.

The workforce is being redrawn

Roles, teams and skills are in full transition. AI-native firms weave intelligence into their people, their processes and their technology alike — an ecosystem that is dynamic and agile by nature.

AI-native companies pull ahead by placing AI at the heart of everything they do — creating the conditions for sustained growth, greater efficiency and stronger resilience.

We practice what we preach

Building an AI-first enterprise.
Real-world examples.

To move beyond AI experimentation and into actually building AI-native operations, the most dramatic gains come not from isolated use cases, but from reimagining entire workflows around AI capabilities.

At Ashford & Sterling, we've transformed how we work by integrating Claude throughout our company operations. Teams from Engineering to People Operations use Claude to build agents that work across long time horizons, manage in-depth knowledge bases, and tackle function-specific tasks using the same core agentic building blocks. The examples below show what becomes possible when teams have the right AI tools — and the autonomy to reimagine their processes.

Engineering

Ashford & Sterling's Engineering teams use Claude Code to dramatically accelerate software development cycles, eliminating the time-intensive work of building context in unfamiliar codebases. Engineers leverage Claude Code as their first stop for any development task — from bug fixes to feature development to running analysis. When working in unfamiliar code, they use Claude Code to quickly understand which files need modification and what changes are required, eliminating hours of manual navigation. The impact extends beyond speed: developers now confidently dive into unfamiliar parts of the codebase to fix bugs or investigate incidents they would previously have delegated because building context would take too long.

Revenue Operations

Our Revenue Operations team transformed work that typically takes months into days with Claude Code. One RevOps engineer built an entire Salesforce application in under a week — including an org-chart solution that would typically cost hundreds of thousands annually — and created automated email systems that pull first-party usage data to generate personalized account alerts with charts and insights. Claude Code enabled the rapid development of Slack notification systems when customers create new organizations, ensuring teams stay informed in real time.

Sales

Account executives use Claude for Work daily for comprehensive account management, maintaining project-based customer knowledge bases that include all meeting notes, preparation documents and relevant research. What previously took six hours to prepare — executive briefing documents — now takes one hour with Claude's assistance. Claude excels at transforming rough drafts into polished, executive-ready communications while maintaining appropriate tone and messaging.

Legal

Rather than routing every question through legal teams, employees use Claude as a preliminary legal assistant to review terms of service, understand contract changes and draft compliance responses for internal review. This allows legal to focus on complex negotiations while routine inquiries get immediate attention through AI assistance — significantly reducing ticket volume to legal.

Marketing

Marketing teams use Claude to accelerate content development across channels while maintaining brand consistency. Content creators draft articles, social campaigns and announcements with Claude's assistance, completing in hours what previously required days of iteration. The team built custom instructions that encode Ashford & Sterling's voice and style guidelines, ensuring all Claude-generated content aligns with brand standards. Campaign planning benefits from Claude's ability to generate multiple creative variations quickly — testing different messaging before committing resources.

Finance

Finance leverages Claude to transform data analysis and reporting workflows. Analysts use Claude to automate routine reporting, generating executive summaries from complex datasets that previously required days of manual compilation. Custom prompts extract key metrics, flag anomalies requiring investigation and draft narrative explanations of variance analysis — and finance partners with business units more effectively by translating technical concepts into clear business language.

Human Resources

Ashford & Sterling developed Ask Claude, an internal knowledge assistant that connects to all company documentation through MCP (Model Context Protocol) integrations. New hires use Ask Claude during onboarding to answer questions they might hesitate to ask colleagues. What previously required tickets that took days now gets answered in minutes — time to productivity for new hires improved significantly, and our lean people-operations team is freed to focus on higher-value work.

The question isn't if. It's when.

Discover what AI says
about you today.

Your competitors may already know their AI Perception score. The first step takes 48 hours and costs less than a business lunch.