Custom trained LLMs
Fine-tune an existing model on your examples to handle specialist terminology, follow your formats and perform specific tasks.
Fine-tuning · LoRAPut AI to work on your most costly workflows.
We find where AI can make the biggest difference, then build and roll out a working solution in about five weeks.
Design and development trusted by 100+ companies
What’s holding your business back?
Behind every growing business are everyday processes that take more time than they should.
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Repeatable work is taking up your team’s time.
Copying information, checking documents and chasing updates keep your team busy. Repetitive work leaves less time for customers and bigger priorities.
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Your competitors seem to be moving faster.
Competitors are launching more and reaching customers sooner. You can see the gap, but it’s less clear how to close it without adding more work.
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Your next growth opportunity could be going unnoticed.
Could AI help you reach a new customer segment, offer something competitors don’t, or serve a market that was previously too costly? There may be room to win more business.
Less busywork.
More room to grow.
Automate everyday work, connect your systems and explore new ways to grow.
More campaigns. Less repetitive work.
Turn your expertise into emails, articles and social posts, then connect publishing and follow-up in one workflow. Your team sets the direction and approves the content; AI handles the repetitive steps.
- Start with your expertise
- Create campaign content
- Review & approve
- Publish & follow up
Benefits to your business
Launch campaigns faster, keep follow-ups consistent and give your team more time for strategy.
Connect the steps that slow your team down.
Move an approved customer brief from your CRM into onboarding tasks, without repeated data entry or missed handoffs.
- Capture the request
- Prepare the record
- Approve next steps
- Create tasks & hand over
Benefits to your business
Less duplicate data entry, smoother handoffs and faster customer onboarding.
Build something your business couldn’t offer before.
AI could make a new service viable, bring your expertise to more customers, or open up a market that was too costly to serve. We help you find a promising opportunity, build a prototype and test it with real customers.
- Find an unmet need
- Shape the offer
- Build a prototype
- Test with customers
Benefits to your business
Explore new services, reach more customers and test new revenue opportunities before committing to a full launch.
Less paperwork. Faster next steps.
Turn forms, briefs and supplier documents into usable records without retyping every detail. AI extracts and checks the information, flags anything that needs attention and prepares it for your systems.
- Receive document
- Extract & validate
- Review exceptions
- Update your system
Benefits to your business
Less manual processing, fewer retyping errors and quicker access to usable information.
Less searching. More getting things done.
Give your team a quicker route to answers buried in documents, policies and past work. Ask a question and get an answer grounded in approved sources, with references you can check.
- Ask a question
- Find approved sources
- Get a sourced answer
- Check & use
Benefits to your business
Less time searching, faster decisions and more time to put your team’s knowledge to work.
Give every enquiry a clear next step.
Help your team respond while interest is still fresh. AI gathers the relevant context, prepares a useful brief and drafts a response, so the right person can review it and keep the conversation moving.
- Receive enquiry
- Gather relevant context
- Review suggested response
- Respond or route
Benefits to your business
Faster replies, clearer ownership and fewer missed customer opportunities.
AI capabilities,
built around your business.
Custom models, coordinated agents and AI connected to your tools. We combine the techniques that fit your use case, data and budget.
Multi-agent systems
Coordinate specialist agents across research, analysis, creation and review, with defined roles and a shared goal.
Orchestration · Parallel workAgent swarms
Let specialist agents hand tasks and context to one another as the work evolves, choosing the right expertise for each step.
Dynamic handoffs · Specialist agentsRAG & knowledge systems
Connect AI to your documents and business knowledge so answers draw on relevant sources your team can check.
Retrieval · Grounded answersTool-using AI agents
Give agents access to approved tools so they can look up information, update records and take actions in your systems.
APIs · MCP integrationsAI workflow automation
Connect AI decisions with repeatable business processes, including routing, validation, approvals and exception handling.
Prompt chains · Human approvalsVoice & conversational AI
Build assistants that listen, respond naturally and connect conversations to the next step in your customer or team workflow.
Speech recognition · Live conversationVision & document AI
Read text, tables and visual information from documents and images, then turn the results into structured data your team can use.
Multimodal models · Structured extractionSemantic search & matching
Find relevant information by meaning, helping people search your knowledge, match requirements or discover related content.
Embeddings · Vector searchGenerative media
Build workflows that create and adapt images, video and audio, with your creative direction and review built into the process.
Image · Video · Audio generationPrivate AI deployments
Run suitable open models in controlled infrastructure, with access, hosting and data handling designed around your requirements.
Open models · Controlled infrastructureEvaluation & guardrails
Test AI against real examples, track output quality and define the permissions and approval steps around important actions.
Evals · Monitoring · Access controls~Five weeks from brief to rolloutFrom understanding the problem
From understanding the problem
to putting it to work.
Week 1Understand & plan
Understand the problem
One-hour workshops with your team establish the workflow, the problem and what success looks like.
Finalise the plan
Together, we agree the scope, technical approach and success measures before development begins.
Weeks 2–3Build & connect
Build the system
We turn the agreed plan into a working system, connecting it to the tools and data your team already uses. We share progress along the way, so you can try it, give feedback and help shape how it works.
Weeks 4–5Deploy & refine
Deploy, test and iterate
We test the system against real tasks and edge cases, then roll it out with your team. We help everyone get comfortable using it, track results against the success measures and use their feedback to keep improving it.
Work directly with a Founder.
Andrew Dao· Founder, Flowspark
Connect on LinkedInI'm Andrew, founder of Flowspark. After working with hundreds of clients through our design and development agency, I now lead our AI implementation service. You'll work directly with me to scope, build and launch your system.
Over the past six years, I’ve built AI products and workflows used at scale—from a YouTube thumbnail generator used by more than 50,000 users to personalised marketing workflows reaching hundreds of thousands of leads. I bring that experience to client projects, knowing what it takes to move from a promising idea to a system people use and rely on.
What could AI do for your business?
Before we
get started.
Do we need to know exactly what we want to build?
You need a problem worth investigating. We help turn it into a clear workflow, success measures and a practical delivery plan.
Will we need to replace our existing software?
We start by assessing what you already use. The solution may involve configuring existing tools, connecting systems or building a custom application, depending on the requirements.
Can you build AI agents or customise a model?
Agents, access to company knowledge and model fine-tuning are options we assess against your use case. We choose the approach through testing, considering quality, cost and maintenance.
How do we keep control of the AI?
We agree what the system can access and do, when a person must approve an action, and how errors are flagged. We test these boundaries against examples from your work before launch.
How do you measure the return?
We agree the baseline and measures before implementation, then compare results after rollout. We distinguish time released for other work from cash savings, and include the cost of running and supporting the system.
What happens after launch?
We agree ownership, running costs and support during scoping. After rollout, we can provide ongoing support or hand over documentation and training to your team.
Where could AI
x10 your output?
Let's look at how your team works and find where AI could make the biggest difference.
Find your x10