How our work applies to you
Illustrative scenarios — not client records — showing the situations our Lead Platform, AI Agents, Private AI and SEO & GEO work is built for, and the metrics each one is designed to move.
An in-house research analyst that never sees the internet
The situation: Two decades of research notes, filings and IC memos sit in shared drives, and compliance forbids public AI tools.
How we'd approach it: A private AI appliance inside the firm's own perimeter, with Graph RAG over the full archive so analysts get cited answers without data leaving the office.
Browse all application scenarios
Filter by solution or industry to find the situation closest to yours.
Turning walk-in traffic into a measurable online funnel
Situation: Stores are busy but nothing is tracked online — no way to know which promotion brought a customer back.
Approach: Landing pages, WhatsApp follow-up, loyalty and in-store QR redemption run on the Lead Platform, so every visit is attributed and every customer can be re-engaged.
- Conversion ratePrimary KPI
- Repeat purchaseSecondary KPI
- First funnelWithin 1–2 weeks
Qualifying leads before a human ever picks up the phone
Situation: High ad spend brings volume, but the team wastes hours on prospects who were never a fit.
Approach: A quiz-driven funnel scores and tags each prospect, then AI-written sequences nurture and book intro sessions automatically — fully white-labelled.
- Qualified leadsPrimary KPI
- Quiz → bookingFunnel metric
- ROASSpend efficiency
An agent team that runs content operations end to end
Situation: Content is the main growth channel, but a small in-house team cannot keep up with research, drafting and distribution.
Approach: A five-agent squad — research, drafting, SEO, distribution and analytics — with human review gates at publishing.
- Cost per articlePrimary KPI
- Organic trafficGrowth KPI
- Hours returnedTeam capacity
One operating layer across many restaurant brands
Situation: Each brand runs its own reservation tool, promo list and menu, so group-level insight is impossible.
Approach: Reservations, promos, QR menus and repeat-visit automation centralised, with per-brand white-label front ends and one operations dashboard.
- Brands unifiedScope metric
- Repeat visitsPrimary KPI
- Ops overheadEfficiency KPI
A private council that stress-tests every deal memo
Situation: Investment memos wait days for input from legal, compliance and product before anyone can decide.
Approach: Role-based agents (CFO, Legal, Compliance, Product) review each memo in parallel and log their reasoning for the audit file.
- Review turnaroundPrimary KPI
- Audit trailGovernance
- Analyst hoursTime value
Filling every cohort without rebuilding the funnel each time
Situation: Each intake is a manual scramble of webinars, emails and spreadsheets, and ad costs climb every launch.
Approach: A reusable webinar → quiz → checkout funnel with AI-written follow-ups that can be cloned for every new cohort.
- Seats filledPrimary KPI
- Acquisition costEfficiency KPI
- Order valueRevenue KPI
An in-house research analyst that never sees the internet
Situation: Two decades of research notes, filings and IC memos sit in shared drives, and compliance forbids public AI tools.
Approach: A private AI appliance inside the firm's own perimeter, with Graph RAG over the full archive so analysts get cited answers without data leaving the office.
- Data egressZero by design
- Deal screening speedPrimary KPI
- Time to deployDays, not months
A sovereign knowledge vault across generations and jurisdictions
Situation: Trust deeds, property records, mandates and minutes are scattered, and only one long-serving administrator knows where anything lives.
Approach: Everything unified in a private Graph RAG workspace with role-based access, so principals ask plain-language questions and nothing touches a public cloud.
- HostingFully on-premise
- Admin timePrimary KPI
- JurisdictionsCoverage scope
Drafting and discovery support that preserves privilege
Situation: Associates lose days to document review, but client confidentiality rules out any external AI service.
Approach: Precedent bank, matter files and case law indexed on a private appliance, with every query and source logged for the audit trail.
- Review hoursPrimary KPI
- PrivilegePreserved by design
- Time per matterEfficiency KPI
Being the source AI assistants quote on compliance questions
Situation: Prospects now ask ChatGPT and Perplexity before they search, and the firm never appears in those answers.
Approach: A GEO programme restructures the site for answer engines — entity markup, question-led pages and citation-worthy source data.
- AI citationsPrimary KPI
- Organic enquiriesPipeline KPI
- Question coverageContent scope
Consistent entity signals so AI engines name you as the expert
Situation: Brand searches are flat and referrals dominate, with no visibility in the AI answers prospects increasingly rely on.
Approach: SEO and GEO combined: authority content, structured data and consistent entity signals across the sources AI engines read.
- Engine coveragePrimary KPI
- Branded searchAwareness KPI
- Cost per leadEfficiency KPI
Scenarios, not client records
We keep client work confidential, so these pages describe the situations we solve and the metrics we design for — openly and without inflated claims.
Illustrative, not client records
Each scenario is an anonymised composite of the situations we are asked to solve. No client is named and no figures are presented as delivered results.
KPIs, not promises
We list the metrics each scenario is designed to move. Actual targets are set with you during discovery, based on your baseline.
A starting point for scoping
Find the scenario closest to your situation and we will adapt it — the architecture, timeline and KPIs are all tailored in the proposal.
A repeatable process — so outcomes aren't accidents
Whichever scenario fits you, delivery follows the same 5-step framework — designed to de-risk the build and keep outcomes measurable.
Discovery & audit
We audit funnels, data and ops. Output: a shared roadmap with measurable KPIs — no fluff.
Design & architecture
Funnel maps, agent role design, integrations and a launch plan aligned across product, marketing and ops.
Build & integrate
Platform configured or agents built on Claude / GPT / n8n / Make. CI, logging and eval sets in from day one.
Launch & measure
Phased rollout with real-time dashboards, A/B tests and weekly reviews. You see the numbers move.
Grow together
Retained partnership: continuous optimisation, new agents and platform modules as your growth compounds.
Not a vendor — a delivery partner
Outcome-first
Every engagement starts with a business KPI, not a feature list.
Senior-only teams
No juniors, no handovers. You get operators who've shipped before.
Transparent process
Weekly demos, shared workspace, real-time dashboards. No black boxes.
Long-term partner
We stay past launch — scenarios evolve as your business does.
- Cantonese, English & Mandarin delivery
- HK / SG-based operators
- GDPR / PDPO-friendly data handling
- Full IP transfer — you own everything
Which scenario looks like yours?
Book a free 30-minute call. We'll map your situation to the closest scenario, adapt it to your data and constraints, and outline scope, timeline and KPIs.