Executive summary
Tasked with modernising a 150-year-old metallurgical firm’s ESG posture, we executed a controlled pilot at one European plant, building the muscle for group-wide rollout.

Client & challenge
Fisher AG needed to understand what “good” ESG looks like in heavy industry—without committing to a sweeping cap-ex programme before evidence.

Approach & methodology

1. Materiality matrix – ran a GRI-aligned survey with 40 stakeholders to define priority metrics.
2. Baseline audit – installed temporary IoT meters; captured energy, scrap, and water data under the ISO 14001 framework.
3. Quick-wins roadmap – used the PDCA cycle to stage furnace scheduling tweaks, waste-sorting cells, and LED retrofits.
4. Governance stack – mapped KPIs to SASB steel standards; built automated Power BI ESG dashboards.
5. Culture kick-off – facilitated “Green Kaizen” workshops so operators could pitch savings ideas.
6. Replication kit – compiled SOPs, vendor lists and payback calculators for corporate HSE to clone at other sites.

Corporate has since earmarked two additional plants for the same treatment.

KYC Hub, a rapidly growing compliance and risk management platform based in London, UK, approached our consulting firm with a critical need. As they aimed to expand their operations and scale their innovative solutions globally, they required a robust financial strategy for securing funding and precise financial modelling to support their growth trajectory.

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Executive summary
KYC Hub asked for a playbook to strengthen its capital-raising narrative ahead of the next funding cycles — not just a pitch deck, but a repeatable investor-relations engine.

Client & challenge
With strong product traction but scattered financial storytelling, KYC Hub needed a cross-functional push: upgraded models, a crisp deck and an internal IR function.

The client’s specific inquiries included:
- Developing a comprehensive financial strategy to attract and secure investment.
- Constructing detailed financial models to project future growth and sustainability.
- Providing actionable insights and recommendations to ensure financial stability during the expansion phase..

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Approach & methodology

1. Investor Readiness Canvas – ran a two-day offsite to score KYC Hub across ten readiness pillars (team, metrics, moat, etc.).
2. Model rebuild – re-engineered the 3-statement model using Driver-Based Forecasting; linked churn, ARPU and sales efficiency to SaaS benchmarks.
3. Scenario planning – applied Tornado Sensitivity Analysis to stress-test downside cases; embedded macros so finance can iterate quickly.
4. IR desk set-up – defined an OKR tree for a nascent Investor Relations team; created a cadence for KPI emails, board packs and data-room hygiene.
5. Story architecture – ran the deck through the Pitch Perfect Framework (Problem - Insight - Solution - Evidence - Ask).
6. Dry-runs & feedback loop – simulated partner-meeting Q&As; documented objection-handling scripts for founders.

Early outreach indicates that the refined narrative resonates well with target investors, and the new IR cadence is already easing due-diligence requests.

Executive summary
Supercell invited us to run a short, low-risk experiment on one live title in Southeast Asia. The mandate: refresh monetization without upsetting the delicate balance that keeps players loyal.

Client & challenge
A regionally popular game had begun to plateau. Supercell wanted to test a new mix of pricing, events and cosmetic bundles - but only if we could safeguard satisfaction scores and avoid global headlines.

Approach & methodology

1. Groundwork – applied the Jobs-to-Be-Done framework and RFM segmentation to cluster players by spend momentum and session cadence.
2. Competitive lens – bench-marked regional tactics with Porter’s 5 Forces to spot under-used levers (e.g., social-driven bundles).
3. Design sprints – co-located with Supercell’s live-ops crew for two one-week Design Thinking sprints; storyboarded offers, codified guard-rails for “fun first” design.
4. Lean experimentation – built a server-side switchboard that allowed A/B/C pricing tests on 20 % of the population, tracking uplift and sentiment in real time.
5. Behavioural nudges – layered in choice-architecture principles (scarcity, reciprocity) to keep everything opt-in and player-friendly.
6. Playbook hand-off – packaged analytics dashboards and test templates so product teams can replicate the pilot elsewhere.

Early signals from the pilot convinced leadership to line up the same playbook for two additional locales.

Executive summary
Pre-Series-A startup Sceld needed a live sandbox to validate its anomaly-detection engine. We brokered a limited-scope pilot with an EU exchange and guided the build–test–learn loop to completion.

Client & challenge
Sceld’s algorithms worked in back-tests but lacked production proof. An exchange partner was willing to cooperate - provided the integration stayed light and reversible.

Approach & methodology

1. Pilot scoping – framed requirements with a Lean Canvas, capping workload at 50 k transactions/day.
2. Threat modelling – mapped vectors using MITRE ATT&CK; prioritised chargeback and account-takeover patterns.
3. Data pipeline – followed CRISP-DM to ingest, clean and feature-engineer in less than two weeks.
4. Algorithm tuning – blended isolation-forest scores with rule-based heuristics; fine-tuned thresholds in nightly Agile sprints.
5. Ops tabletop – ran a red-team / blue-team exercise to stress-test the alert workflow.
6. Knowledge transfer – produced a 30-page run-book plus Grafana dashboards for the exchange’s ops desk.

The exchange renewed the sandbox and requested an expanded ruleset—clear proof of concept for Sceld’s next investor conversations.

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Executive summary
Gobbi Partners wanted to test a tightly defined AI theme — agri-tech — without disturbing its core mandate. We formulated a micro-thesis and surfaced a short list of investible targets.

Client & challenge
Emerging-market VC funds see AI everywhere; Gobbi needed a filter to avoid thesis creep and LP fatigue.

Approach & methodology

1. Theme canvas – applied Blue-Ocean Strategy to carve out “low-latency crop intelligence” in three frontier markets.
2. Market map – scraped patent, grant, and seed-fund data; visualised clusters with a CB Insights-style heatmap.
3. Screening rubric – combined McKinsey 7-S and Traction Scorecard for founder, tech, and economics fit.
4. Scenario model – ran Monte Carlo on unit economics under commodity-price volatility.
5. IC facilitation – hosted a one-day investment-committee roundtable; captured dissent and risk log.
6. Deal structuring – sketched a co-investment template balancing GP risk and LP signalling.

The framework now sits in Gobbi’s knowledge base as its reference play for future micro-theses. This has played a crucial role for their current AI-hype investment strategy.

Executive summary
Nomura asked us to sharpen client acquisition and onboarding for one ultra-high-net-worth (UHNW) desk in Tokyo — effectively a boutique within the bank (with expansion to other branches across SEA).

Client & challenge
The desk handled a discreet but profitable segment. Conversion and onboarding lagged because legacy forms and fragmented data slowed advisors.

Approach & methodology

1. Persona craft – held twelve qualitative interviews, then created three UHNW archetypes with Empathy Maps.
2. Service blueprinting – charted every step from seminar invite to funded account; applied Moment-of-Truth analysis to surface friction.
3. Process lean-out – used Lean Six Sigma (DMAIC) to eliminate two manual KYC checkpoints; introduced e-sign workflows.
4. Advisory toolkit – piloted a Goals-Based Wealth storyboard that lets advisors co-create portfolios on-screen.
5. Capability uplift – ran a two-day Challenger-Sale workshop for relationship managers; embedded “micro-habit” coaching via weekly huddles.
6. Governance – set up KPI dashboards and a quarterly retro cadence so improvements remain front-of-mind.

Internal reviews now cite the desk as Nomura’s template for UHNW onboarding discipline.

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