AI Solution Navigation

MIT research shows that 95% of enterprise AI pilots never progress beyond the demo stage. S&P Global found that nearly half of organisations scrapped most of their AI initiatives in 2025. Not because the technology failed, but because the wrong choices were made at the start.

At Futurice, we don’t sell tools. We are tech-agnostic advisors and hands-on partners, helping organisations navigate this messy landscape with clarity and confidence.

Financial Services - RFPs and enterprise knowledge search

Banks and insurers face relentless pressure to speed up RFP responses and surface knowledge from sprawling internal document repositories.

• Off-the-shelf options like Highspot or Loopio can accelerate RFP automation but often lack transparency on how responses are generated.
• Custom approaches using Vertex AI Search (Google) or Azure AI Search, with orchestration via LangChain or LlamaIndex, give more control over compliance, explainability, and audit trails.

The decision isn’t just which tool? It’s how much control do we need over data governance, explainability, and model switching - and what trade-offs are we willing to accept for speed?

Legal - due diligence and contract understanding

Legal teams are under pressure to do more with less, especially in areas like due diligence and contract review.

• Out-of-the-box tools such as Harvey AI (trained on legal data), Casetext CoCounsel (now part of LexisNexis), and Luminance (contract analytics) offer polished solutions with rapid onboarding. They’re strong on usability and accuracy for common tasks, but firms often face trade-offs around data residency, confidentiality, and workflow lock-in.
• Build-your-own stacks using LlamaIndex for structured document parsing, LangChain or LangGraph for orchestration, and GraphRAG for multi-document reasoning give greater control. These setups allow firms to enforce confidentiality rules, design custom review pipelines, and evolve the stack as regulation changes.

The decision point isn’t whether to use AI in legal at all - it’s which approach balances efficiency with client confidentiality, provenance, and professional ethics.

Media & Publishing - real-time news and fact-checking

Newsrooms need to move fast while maintaining trust.

• Out-of-the-box platforms like NewsWhip (trend detection), or Wordsmith (automated summarisation) can accelerate coverage. But they may not address provenance, IP, or editorial override.
• Custom solutions built on frameworks like LangChain, LlamaIndex, or GraphRAG can ingest live feeds, enforce source citation, and integrate with provenance standards like C2PA/Content Credentials.

Our work with Viestimedia is one example: a custom privacy-first assistant embedded in editorial workflows, with human oversight, now part of everyday production.

The decisions needed are on whether speed and convenience from an off-the-shelf solution is enough - or whether the newsroom needs a bespoke stack to protect credibility and adapt to future regulation.

Because there’s no single right answer. Off-the-shelf tools get you speed and polish. Custom stacks get you control and adaptability. Both can be valid, but the trade-offs are real.

Our role is to help you:

• Compare options fairly - vendor demos vs. hands-on trials in your environment.
• Balance speed and sustainability - short-term wins vs. long-term resilience.
• Future-proof your decisions - so today’s adoption doesn’t become tomorrow’s regret.

Get in touch with us to discuss your requirements and a tailored approach to AI implementation.

References & Further Reading

• MIT Sloan Management Review: Research showing 95% of enterprise AI pilots fail to scale.
• S&P Global / CIO Dive: Survey showing 42% of organisations scrapped most AI initiatives in 2025.
• LangChain documentation: Framework for building LLM apps and workflows.
• LlamaIndex documentation: Retrieval and indexing framework.
• Microsoft Research: GraphRAG approach for query-focused summarisation.
• Reuters Institute: Public Attitudes to AI in Journalism report, 2024.