Fig. 4 Work
Selected work
Work we can talk about. Where a client is confidential, we describe the company and the problem instead of showing a logo. Projects marked Lumthera Lab are our own.
Case studies
Legal tech · Client: Confidential
A company brain, and the automations around it
An internal AI assistant grounded in the company’s own knowledge, automations for the repetitive work around it, and a pipeline that turns briefs into marketing video.
Read the case study-
Legal tech · Sales · Client: Confidential
A follow-up assistant that reads the thread before it writes
An assistant that works out where every prospect actually stands from the email thread, the CRM deal stage and the call notes, then drafts the right follow-up for a person to review and send.
Read the case study -
Content & social media · Lumthera Lab
A video factory: raw footage in, finished posts out
A pipeline that turns a camera roll of real footage into batches of 50 to 100 ready-to-post TikTok and Reels videos and Instagram carousels. AI does the watching; a person does the approving.
Read the case study -
Operations · Client: Confidential
Production automations in n8n, built like software
Workflow automations that connect a company’s tools, from webhook intake and API integrations to AI agents and scheduled jobs, built with validation, error handling and monitoring.
Read the case study
Examples How engagements are shaped
What a typical engagement looks like
These are example plans, not client stories. They show how we usually structure each kind of work; your proposal is written for your situation.
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Example A · MVP development
From validated idea to first paying users
- 01 Scope
Interviews, one core user journey, acceptance criteria, clickable prototype.
- 02 Build
Weekly cycles on the core journey only, with a demo every Friday.
- 03 Launch
Release to a first group of users, analytics and error monitoring live.
- 04 Handover
Code, accounts and documentation in your name; a backlog for what comes next.
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Example B · AI integration
An assistant for a support or operations team
- 01 Audit
Which requests repeat, where the answers live, what must stay with a person.
- 02 Prototype
Tested on real, anonymised requests before anyone relies on it.
- 03 Production
Connected to your tools, with a clear hand-off to a person when it is unsure.
- 04 Measure
An evaluation set, usage costs and quality reviewed every month.
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Example C · Team management
A fractional product lead for a quarter
- 01 Diagnose
How work arrives, who decides, where it stalls.
- 02 Set up
A delivery rhythm and tooling sized for the team you actually have.
- 03 Lead
Running planning, reviews and releases until the rhythm holds.
- 04 Hire
Role definition and interview loop for the person who takes over.
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Example D · AI integration
A knowledge assistant over your documents
- 01 Collect
Sources, access rights, and the questions it must never answer.
- 02 Prototype
Tested on real questions from the team, not demo prompts.
- 03 Ground
Answers point to where they came from; unclear cases go to a person.
- 04 Roll out
One team first, with feedback and running costs tracked.
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Example E · MVP development
Rescuing a stalled MVP
- 01 Assess
Code, infrastructure and backlog review, with an honest written verdict.
- 02 Stabilise
Fix what blocks a release; tests around the critical paths.
- 03 Ship
Cut the scope to one core journey and get it in front of users.
- 04 Hand over
Documentation, a clean backlog and notes for the next hire.
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Example F · Product strategy
An AI readiness audit
- 01 Map
Processes, data and tools, and where the hours actually go.
- 02 Score
Use cases ranked by value, risk and effort.
- 03 Test
Quick prototypes on the top candidates, using your real material.
- 04 Plan
A costed roadmap, including what not to do yet.
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