AI capability, without building an AI department.
Practical tools. Tangible results. Real people
Silky Insights is a specialist AI implementation team that helps organisations add practical AI functionality to existing products, workflows, and data environments.
We help you decide what to build, prepare the data needed to build it, and build the AI capability itself.
AI projects get stuck between ambition and implementation.
The use case is unclear
The data is not ready
The team is not resourced to build it
Many teams can see the potential of AI, but do not have the internal capability, time, or confidence to turn it into reliable software.
The use case seems promising, but the data is messy. The prototype looks impressive, but does not survive real workflows. Internal teams are busy, hiring is slow, and it is hard to know what is valuable, feasible, or safe to build first.
That is where Silky comes in.
Three ways we help
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We design, build, and integrate AI functionality into existing products, platforms, internal tools, and customer experiences.
This could include search, recommendations, summarisation, document generation, classification, structured extraction, workflow automation, chat interfaces, or user-facing AI features.
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AI is only as useful as the information underneath it.
We clean, structure, connect, and organise documents, reports, databases, and knowledge sources so they can support reliable AI.
This can include document ingestion, structured extraction, foundational databases, data pipelines, metadata, vector search, APIs, monitoring, and reporting reliability.
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Not every AI idea is worth building.
We help you identify where AI can create real value, assess feasibility and risk, and define a practical roadmap. The output is not a strategy deck for its own sake. It is a clear path to action.
Working AI systems, not just advice
Enerlytica
Enerlytica works with dense, high-value energy market information, including reports, PDFs, data tables, and recurring data flows. The opportunity was not simply to “add AI”, but to create a more reliable information layer that could support faster research, better reporting, and future AI-enabled products.
Silky helped convert complex documents and data sources into structured, searchable, and more usable information. This included work across document ingestion, table extraction, foundational database design, search capability, API-connected workflows, and improvements to the reliability of data processes.
The result was a stronger foundation for AI: one where valuable historical reports, market commentary, tabular information, and recurring data could be accessed and reused more effectively.
AI-Ready Data Foundations, AI Product Implementation, Document Intelligence
Humaneer
Humaneer needed practical AI capability layered into an existing HR and compliance product. The challenge was to turn rich workplace information, including transcripts, context, policies, and user inputs, into useful outputs that could support real HR and compliance workflows.
Silky supported the development of AI-powered layers that use meeting transcripts, knowledge retrieval, contextual reasoning, document generation, and compliance guidance. Rather than building AI as a novelty feature, the work focused on helping users move from conversation and context to practical next steps.
This is the type of AI implementation where trust, traceability, and workflow fit matter. The system needed to support human judgement, not replace it.
Product Implementation, Embedded AI, Workflow Copilots, Document Generation
Archive Discovery, User-facing AI Features, Product Integration, Semantic Search
BusinessDesk
BusinessDesk had a large and growing archive of business journalism, market information, company coverage, journalist profiles, and related content. The opportunity was to improve how readers discovered relevant information and how the platform connected users with the right content at the right time.
Silky built AI-powered search and recommendation capability that went beyond simple keyword matching. The system was designed to understand user queries and article context, helping surface more relevant articles, related content, and recommendations across the archive.
This work showed how AI can be integrated into an existing digital product to improve discovery, engagement, and user experience.
Why Silky
Senior AI capability without the hiring risk
Hiring an internal AI team can make sense once AI becomes core to your business.
But hiring before you know what you need can be slow, expensive, and risky. Silky helps you prove the use case, define the architecture, build the first working system, and create a clearer basis for future investment.
You work directly with the people designing and building the solution. No large consulting team. No endless strategy programme. No handover gap between advice and implementation.
A lower-risk way to start
The usual path
Hire before the role is clear
Run broad AI workshops
Build demos that do not fit real workflows
Leave internal teams to figure out AI patterns alone
Commit budget before value is proven
The Silky path
Start with the workflow, product, or decision that matters
Assess value, feasibility, data readiness, and risk
Build a useful first version with real data
Integrate it into the existing environment
Scale what works, once value is clear
See it in action
Try out our latest collaboration with BusinessDesk, using AI to transform the search experience for the business-minded news consumer.
How we work
No pitch decks. No disappearing acts. Just smart, collaborative AI delivery.
Our Process
Understand the real need
Prototype fast
Embed tools into your workflows
Iterate and scale
Stick around and support
Ready to get started?
So are we.
This is what you can expect.
Contact us
Start by reaching out to us through our founder, Chris Matthews, directly at Chris.matthews@silkyinsights.com.
We’ll complete a free AI consultation
During the consultation process we’ll want to learn about your key business challenges and discuss how AI can help you meet them. We’ll offer you many option to suit all cost and timer requirements.
Develop and integrate AI solutions
From the initial spec we then iteratively develop bespoke AI products until we reach product launch - then iterate further as AI tyechnology gets better and better!
