Reference Cases

The discipline, against real situations.

Engagements where the methodology was applied, refined, or — in one case — first practiced at scale. Anonymized at the level required for credibility. Specific at the level that makes the structural pattern legible.

Four client engagements follow, each presented as a structural case: the situation, the constraint we identified, what we did, and what the engagement produced. None of these clients used Rejoyce — the platform didn't exist. What they used was the practice, the discipline, and the senior practitioners. Rejoyce is the productization of what was learned along the way.

A fifth case sits below the four. It is presented separately because it is structurally different. Not a client outcome story, but a methodological provenance case — the engagement where part of what is now the Capability Framework primitive was first practiced at enterprise scale.

Client Engagements
01
Mid-tier U.S. broker-dealer · Strategic Execution

From fragmented operations to a unified advisor experience.

A regional broker-dealer carried four disconnected systems for marketing, compliance, supervision, and advisor tools. We rebuilt the execution layer as a single environment and ran the discipline through five quarterly cycles. The compliance cycle compressed by 80%; the advisor base and AUM doubled over three years.

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02
Top-tier U.S. P&C insurer · Post-acquisition operating model

Two operating models, one synergy thesis — and a fog condition between them.

A major personal-lines acquisition produced a 6:1 staffing-ratio mismatch and incompatible claims workflows. The integration was at risk of losing the synergy case the deal was built on. We segmented claims into three value streams, redesigned the operating model layer by layer, and helped the leadership team move from firefighting to structured cycle execution.

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03
U.S.-headquartered institutional brokerage · Sales & research

The right idea, to the right desk, at the right moment.

Research output was high-quality but reached clients fragmented, delayed, and unmatched to their actual mandates. We built an applied-AI synthesis layer over a structured mirror of fund holdings, mandates, and prior engagement, and routed the output through workflow automation. Manual overhead dropped ~60%; buy-side ratings rose ~15% year over year.

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04
Top-tier strategy & advisory organization · Intelligence velocity

1.5 months → 1.5 minutes — without losing depth.

A flagship intelligence cycle required roughly six weeks of manual synthesis to produce partner-ready strategic and financial reads. Generic GPT experiments were faster but shallow. We engineered a structured mirror of the relevant companies and KPIs and a domain-tuned synthesis layer underneath it. Cycle time collapsed to ~1.5 minutes; depth and accuracy improved. Several patterns from this engagement became the technical lineage for Rejoyce's Joyce layer.

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If one of these looks like your situation, the fit call is the next step.

30 minutes · Senior practitioner · No deck, no sales motion

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