Services for AI integrationAI worth its place inside your product.
We apply AI where it delivers returns: within the product you have today, or within a fresh one designed around it.
Automation & AI Integration
Sound like you?
Teams with genuine work to automate, or an idea reliant on AI.
Made your app using AI tools such as Lovable or Cursor?Explore Prototype to Production
- Your people lose hours on tasks a model could draft within seconds.
- The AI features you've tried were unreliable or off-brand.
- You can't tell what's achievable, or what it costs to keep running.
What we cover
All handled, from start to finish.
- 01AI auditA targeted review that pinpoints which tasks deserve automating, and which don't.
- 02Responses drawn from your dataAssistants and search that reply from your own documents, citing sources.
- 03AI built into your productDrafting, summarising, searching, tagging and recommending, all built in.
- 04Automating your workflowsHandle documents, emails and tickets with no manual effort.
- 05Model set-upPlug in the best-suited model, or fine-tune one where it pays its way.
- 06Safeguards & monitoringQuality and spend remain visible thanks to testing, fallback plans and usage tracking.
Watch it in action
AI doing the work inside your tools.
Choose a task to see how AI travels through the tools you already have, and where you keep control.
A fresh enquiry arrives
Example- Opens the new enquiry in Gmail
- Looks up the customer's past activity in HubSpot
- Looks at your pricing in Google Sheets
- Prepares a reply covering prices and next steps
- You review the draftApprove
- Sends the reply out from your own inbox
- Records the conversation in HubSpot
This is just an example. Every workflow we build is shaped around your tools and your rules.
Pricing
Begin with an AI audit.
A sensible first move: before you commit to building, we identify which work is worth automating and price it.
Step 1
AI audit
£1,500Around two weeks
Systems and data are mapped first; then we shortlist the best one or two automations by payback.
- Session with your team
- Review of systems and data
- Short list with projected return
- Build plan with costs
Step 2
Build
From£3,000Settled during the audit
We fit the automation into the tools you use today, try it against real examples, then release it.
- Integration with systems
- Trials using real examples
- Safeguards and monitoring
- Handing it over
If you proceed to build, we deduct the £1,500 audit fee from the total.
Arrange a free callWorth knowing first
What makes AI hold up in production.
A demo is simple; a dependable AI feature takes more. Here is how we bridge that gap.
- 01
Begin with the job, not the model
Choose a single task with a clear result, for example writing a reply or pulling data from invoices. A tight task is simpler to measure, costs less to run and is much likelier to hold up once real users arrive.
- 02
Base answers on your own material
With retrieval, the model checks your documents before replying and names its sources. Answers stay up to date, and confident but wrong output becomes much rarer than when a model relies on memory.
- 03
Test quality ahead of launch
We assemble real examples into a test set and measure accuracy, speed and cost against it. Opinion turns into evidence, and you see when a cheaper model could do the same work.
- 04
Plan for spend, privacy and failures
With usage-based pricing, costs rise as you succeed, so we watch spending from the first day. We settle which data may leave your systems, and plan a sensible fallback for when a model runs slowly or is down.
Compare
Prompt, retrieve or fine-tune?
Three routes to making a model useful for your business. Plenty of products blend them.
Prompting
- Best for
- Simple, general jobs
- Your own data
- Not used
- Starting effort
- Low
- Staying up to date
- Change the prompt
- Cost to run
- Lowest
Retrieval (RAG)
- Best for
- Replies drawn from your own content
- Your own data
- Fetched at answer time
- Starting effort
- Medium
- Staying up to date
- Refresh the documents
- Cost to run
- Moderate
Fine-tuning
- Best for
- A steady format or tone
- Your own data
- Taught to the model
- Starting effort
- High
- Staying up to date
- Retrain
- Cost to run
- Costlier to set up
What you get
All you take away.
Everything is yours, documented and ready to use, with or without us.
- Documented
- Passed to you
- Yours for good
- 01AI audit and build plan with costs
- 02Data and privacy check
- 03Prototype that works
- 04Test set for quality, with results
- 05Built into your product
- 06Safeguards and fallbacks
- 07Tracking of usage and costs
- 08Team handover with documentation
Technology stack
Dependable tools, picked to suit your product.
- Anthropic ClaudeModels
- OpenAIOpenAIModels
- Google GeminiModels
- Hugging FaceModels
- PythonBuild
- LangChainBuild
- PyTorchBuild
- Node.jsBuild
- Next.jsBuild
- PostgreSQLData
- SupabaseData
- RedisData
- AWSAWSCloud
- AzureMicrosoft AzureCloud
- Google CloudCloud
- VercelCloud
Interested in ai integration & automation?
Say what you need and we'll reply with a proposed plan, a delivery schedule and a transparent cost.
What you gain
Time returned
Manual work done in seconds.
Sourced answers
Replies built on your data, with citations.
Spending you can see
Usage and spend monitored from the first day.
- 23+
- Products launched
- 4.3
- Trustpilot score
- 2–4weeks
- Idea to proven MVP
- 2locations
- Islamabad, PK & Birmingham, UK
Client feedback
Straight from them.
“Great communication and clear project updates from beginning to end. We always knew what stage the app was in.”
“We appreciated their focus on building only the most important features. It saved time and kept the project streamlined.”
“The development team did an excellent job building our first mobile prototype. The UI was simple but functional, which is exactly what we needed.”
The process
Four simple steps.
- 1
Compass
Audit
A review of which tasks merit automating, plus the data behind them.
- 2
Pillar
Prototype
Prove the approach fast, using real examples.
- 3
Forge · Bridge
Integrate
Embed it in your product, with safeguards.
- 4
Sentinel · Everest
Assess & launch
Rate quality, track costs, then release.
Why choose TechClues
What draws founders to us.
Validate first
We check demand up front, so real users stand behind each feature.
Defined scope, honest price
Open pricing with frequent updates. No surprises.
Made to grow
Tried-and-tested tech such as React, Next.js and AWS, built for growth.
FAQ
Frequently asked questions.
Most projects start with an AI audit: £1,500, over about two weeks. Builds start from £3,000 and are priced at the end of the audit. If you go ahead, the audit fee comes off the build.
Insights
More to read.
Want to take the first step?
Grab a free 30-minute slot and we'll plot out your journey with you.
- 30 minutes, no strings attached
- Price and scope settled in advance
- Everything we make belongs to you
- 4.3 on Trustpilot