Your clients are asking about AI — have the answers ready

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Curated from 20+ industry labs and publications

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Clients expect AI expertise from you

Whether you're a strategy, tech, or management consultant, clients expect you to have an informed AI perspective for their specific industry.

Each client is in a different industry

AI impacts healthcare differently than fintech. You need cross-industry coverage deep enough to be credible with each client.

AI recommendations have career risk

Recommending the wrong AI strategy can damage your reputation. You need well-sourced, current intelligence to back your advice.

AI news through the Consultants lens

Cross-industry AI intelligence

We cover AI's impact across industries so you can advise clients in any sector with current, relevant insights.

Framework-ready insights

AI trends and developments packaged in ways that fit into consulting frameworks and client deliverables.

Source-backed analysis

Every insight comes with context and sources so you can trace claims and build credible client materials.

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Sample context profile

RoleConsultants
Topics
AI adoption strategyvendor evaluationcross-industry benchmarkingclient AI readinessimplementation frameworks

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Scanning 400+ articles

From 20+ AI labs, publications, and research outlets

Matching your context

Filtering for Consultants, AI adoption strategy, vendor evaluation

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Surfacing only what matters to your role and priorities

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News Relevant to You

  • McKinsey's Q4 2024 AI Maturity Index: 73% of Enterprise Clients Now in Implementation Phase

    New research shows a significant shift from AI pilots to production deployments across Fortune 500 companies. The study identifies three distinct adoption archetypes that correlate with measurable business outcomes.

    Why this matters to you: This benchmark data directly supports your client AI readiness conversations—you can now segment clients by maturity level and reference industry-backed evidence when recommending next steps in their AI adoption strategy.

  • Anthropic and Google Cloud Expand Enterprise Partnerships; Custom Model Fine-Tuning Now Available

    Claude API now offers enterprise fine-tuning capabilities, reshaping the vendor evaluation landscape for teams considering custom LLM solutions. This move pressures OpenAI and other competitors to enhance customization offerings.

    Why this matters to you: As you guide clients through vendor evaluation, this shift means your cross-industry benchmarking can now include custom model performance data—giving you a competitive edge in positioning differentiated AI solutions for specialized use cases.

What To Test This Week

  • Run a 30-Day AI Readiness Assessment Template with Three Pilot Clients

    Create a lightweight assessment scoring client maturity across data quality, team capability, and business case clarity. Use framework elements from the brief to standardize your diagnostic approach and track which dimensions correlate with successful implementation frameworks.

    Why this matters to you: This experiment turns the brief's implementation frameworks into a repeatable client deliverable, allowing you to build comparative data that strengthens your vendor evaluation process and demonstrates tangible progress to stakeholders.

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Topics we watch for you include

  • 🔍Cross-industry AI adoption trends and patterns
  • 🔍AI vendor landscape shifts and competitive dynamics
  • 🔍Frameworks for client AI strategy conversations
  • 🔍Case studies of AI adoption across industries
  • 🔍Weekly insights to weave into client deliverables

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