The problem
Why generic AI breaks on consulting work
It misses the consulting workflow
Generic AI treats research, synthesis and slides as disconnected tasks. It does not carry the logic from research to insight to storyline to deck.
It can copy your style, not your thinking
A Skill can teach fonts, colours and slide backgrounds, but not how your Practice structures complex ideas. The result can look on brand while still having simplistic slides, weak hierarchy and poor formatting.
Shallow, unreliable insights
Generic AI can produce plausible insights without consulting-grade rigour. Weak data sources, poor triangulation and inconsistent definitions create insights that do not hold up under review.
Too much depends on the LLM
Generic AI uses LLMs even for tasks that need fixed, repeatable rules. This makes calculations, formatting and slide execution slower, more expensive in tokens and more prone to errors.
The approach
Why Fjord works
Follows the consulting workflow
Fjord runs research, synthesis, storylining and deck creation as one connected workflow, so each step builds on the last and cuts down rework.
Learns how your Practice works
Fjord learns the frameworks, analytical approaches and data visualizations behind your best work, so output reflects how your Practice thinks and communicates.
Researches like a consultant
Fjord uses consulting-specific research skills for source selection, synthesis and triangulation, producing insights that hold up under review.
Uses LLMs with deterministic execution
Fjord uses LLMs for judgment and deterministic systems where rules are fixed, such as PowerPoint, to deliver reliably.
Questions firms ask
Can Claude do this?
Claude can handle individual consulting tasks well. The harder problem is carrying the same context, reasoning and standards across research, synthesis, storylining and deck creation. Fjord is built around that connected workflow and your Practice's way of working.
Compare with ClaudeCan't we just build a Claude Skill?
Claude can be useful for individual consulting tasks and often creates micro productivity. But when the output needs consulting grade rigour, structure or formatting, teams can spend significant time prompting, correcting and rebuilding it. The time saved on the first pass gets eaten up by the rework. Fjord is built to produce usable output across the workflow, not just a faster first draft.
Why a Claude Skill isn't enoughCan't we build this ourselves?
A prototype is relatively straightforward. Building a system that reliably handles consulting workflows, complex PowerPoint output, revisions and Practice-specific standards is a much larger engineering effort.
Why firms choose buy over buildEnterprise-ready from day one
- Your data is never used to train AI models
- Bring your own model credentials if required
- Regional data residency
- Enterprise-grade encryption and role-based access