For enterprises in Financial Services and Energy, the pressure to unlock value from AI has never been greater. Yet over half of AI projects never make it to scale - stalled by fragmented data, legacy systems, and the failure to deliver measurable ROI.
The partnership between Indicium AI, a global AI-native consultancy, and Anthropic, a leader in safe, frontier AI, was forged to close this gap. By combining Indicium AI's delivery engine with Anthropic's Claude models, Indicium AI is helping the world's leading enterprises move from pilots to production-grade AI that delivers tangible business outcomes.
The Challenge
Across both sectors of Financial Services and Energy, Indicium AI’s clients faced a common obstacle: how to scale AI without compromising quality, governance, or operational stability.
In Financial Services:
- LSEG Risk Intelligence needed a more scalable approach to content curation, empowering researchers to focus on high-value analysis while delivering faster, more accurate insights to clients.
- A global investment manager faced a critical bottleneck: wealth advisors spending up to 90 minutes manually assembling personalized client reports, limiting client capacity and impacting retention.
In Energy:
- A European energy industry leader was manually reviewing body-worn camera footage from customer visits. Given this manual process, they could only sample 15% of cases, leaving a significant compliance gap.
- A global commodities trading firm struggled with developer productivity. Manual processes across their risk intelligence codebase were creating bottlenecks, slowing delivery of critical tools to traders and analysts.
The Solution
Indicium AI partnered with Anthropic to deliver production-ready solutions leveraging Claude, combining expert-led strategy with a platform-first approach.
For LSEG Risk Intelligence: Indicium AI and Anthropic built the AI Content Curation (AICC) platform, automating the identification, enrichment, and extraction of entity data from raw articles. Combining a human-in-the-loop approach with GenAI, the platform accelerates updates to World‑Check, LSEG's trusted database for KYC and anti-money laundering compliance.
For the global investment manager: Indicium AI and Anthropic built an AI-powered wealth reporting tool using Claude and RAG to generate personalized, compliance-ready communications in under a minute - down from 90 minutes - freeing advisors to focus on client relationships.
For the European energy industry leader: Indicium AI and Anthropic built an AI-powered video analysis solution combining computer vision, speech-to-text, and Claude to automate vulnerability detection and compliance verification from body-worn camera footage, processing 1,000 cases per week.
For the global commodities trading firm: Indicium AI and Anthropic deployed Claude Code agents to automate development and infrastructure tasks - from turning business requirements into technical specs to autonomously monitoring cloud environments and building fixes - creating a self-healing infrastructure with built-in guardrails.
The Business Value from Indicium AI’s Clients Using Claude
With Claude, Indicium AI’s customers are seeing measurable impact across speed, scale, and ROI.
Across every engagement, the result is the same: AI delivered at scale, with the reliability, governance, and measurable ROI that enterprises demand.
About Indicium AI
Indicium AI is trusted by the world's leading enterprises to deliver AI into production at scale. They are a global AI-native consultancy with proven experience across Financial Services, Energy & Utilities, Healthcare & Life Sciences, Retail & CPG, and Manufacturing. From strategy, to build, to business outcomes, they unlock value from AI with unmatched clarity, speed, and capability.
Powered by 600+ AI experts serving 50+ enterprise clients from 5 global locations, they work side-by-side with Anthropic - to deliver modern AI with speed and measurable impact.
About Anthropic
Anthropic is an AI research company that builds reliable, interpretable, and steerable AI systems. Anthropic's research interests span multiple areas including natural language, human feedback, scaling laws, reinforcement learning, code generation, and interpretability.
