M-01
Find the constraint
Map how dollars, customers, and intangible capital move through the business to find the few areas that are most limiting your profits.
Transform your portfolio with unprecedented confidence.
Bishop Foundry tailors value creation plans to your capital discipline so you can win on acquisition and exit in an AI-driven landscape.
Hiring the wrong value creation help can be worse than useless.
Consultants who don't have the skills to find value in your company on their own will dump your data into Claude Code and regurgitate vibe-coded suggestions that waste your time, money, and energy.
A track record across
We get paid only when we find you value.
Our approach creates a structure that makes us maximally accountable for providing value:
- We start from the plan your roadmap implies: what you intend to implement, the impact you expect from each initiative, and how confident you are in each. This becomes the baseline beyond which we have to prove our value.
- We create a portfolio of ready-to-implement value creation interventions derived from your structured and unstructured data, for free.
- We provide a dashboard with one fully fleshed-out intervention, free, and the option to pay for the rest. The dashboard shows exactly how we derive value from your data and industry priors so you can interrogate and disagree with any of the assumptions.
Fig. F-04 — Sample dashboard / illustrative
Implement feature X instrumentation to find onboarding failures
Insight: Feature X is widely enabled but has poor retention. We recommend unlocking information value by instrumenting the feature's substeps to address potential onboarding and time-to-value gaps.
Unlocked · 1 of 7 interventions
Value decomposition
+50 bps
EBITDA margin
P10 +25 · P90 +100 bps
- Revenue lost to churn each year 18% Your data
- Of that, from accounts with feature X enabled 70% Your data
- Churned because they never got value from feature X 25% Industry data
- Kept once the drop-off is fixed 21% Industry data
- Flow-through margin on that revenue 75% Your data
Before and after
New feature X accounts reaching first value within 30 days
- Actual
- Without the intervention
- With the intervention (mean)
- P10–P90 range
Staged payoffs
Chance this is the final stage
- Stop after instrumentation 20% No fixable drop-off in feature X's substeps −$15,000
- Stop after the pilot 25% Fixing the drop-off doesn't get pilot accounts to value from feature X −$30,000
- Stop after rollout 15% More accounts get value from feature X, but retention doesn't rise within 12 months −$45,000
- Retention benefit realized 40% $150k annual run rate of EBITDA from retained revenue, less $45k total outlays +$105,000
| Outcome | Chance | Net |
|---|---|---|
| Stop after instrumentationNo fixable drop-off in feature X's substeps | 20% | −$15,000 |
| Stop after the pilotFixing the drop-off doesn't get pilot accounts to value from feature X | 25% | −$30,000 |
| Stop after rolloutMore accounts get value from feature X, but retention doesn't rise within 12 months | 15% | −$45,000 |
| Retention benefit realized$150k annual run rate of EBITDA from retained revenue, less $45k total outlays | 40% | +$105,000 |
Expected net value
+$24,750
Expected gains $42,000 − expected losses $17,250.
EV = 20% × (−$15k) + 25% × (−$30k) + 15% × (−$45k) + 40% × ($105k)
An illustrative dashboard for a $30M-revenue software company, not a client result. Exactly one staged outcome occurs; each includes the outlays before stopping, and success assumes the median uplift as an annual run rate of EBITDA, after flow-through margin. The uplift's range comes from simulating every factor at once.
Methods / scientific foundations
AI-augmented management science.
How we use AI to make the methods of $1B+ revenue firms accessible without sacrificing comprehensiveness or precision.
M-02
Design the interventions
For the constraints found above, design interventions that better allocate scarce resources or increase capacity. Each intervention is decomposed by risk, reward, and the evidence substantiating our forecast.
M-03
Craft a portfolio
Rank the interventions above as a portfolio that is optimal for your cash flow requirements, risk appetite, and exposure to correlated failures.
Areas of focus
Our specialties
001
Buy-side operational due diligence
Know the best levers to pull and avoid bad assets.
002
SaaS retention & customer value
Gross revenue retention and customer lifetime value.
003
Financial visibility
P&L observability and evidencing.
004
Customer operations
Call-center back-office handle times.
005
Customer experience instrumentation
Instrumentation leading to actionable metrics.
W-02 / Team
Who we are
-
P-01
Rai Sur
Founder & CEO
Formerly CTO of Andreessen Horowitz–backed fintech, Alongside Finance ↗
-
P-02
Andrew Templeton
Review Partner for all deliverables · Advisory Board
Group CTO, CSC / Generation ↗
