Fosura

Use cases

The same program. Less rediscovery. More delivery.

A grounded, worked example — payments modernization at a large West African bank — followed by the six ways compounded institutional knowledge changes what your estate delivers.

Use case

Payments modernization, without the usual discovery cost.

A large West African bank must modernize its payments domain before replacing a core component. Competent teams. Existing tools. The mandate: know what you are changing before you change it.

Understand what a business function actually does today
A capability view assembled continuously from evidence. Every assertion carries a source and confidence score.
Assess the impact of a planned change
Traverse the capability graph before implementation. Applications, APIs, data, queues, channels and owners surface deterministically.
Find reusable interfaces
Find existing interfaces by what they do — including semantic variants and known gaps against the business requirement.
Keep the map current between programs
Continuous reconciliation of documented architecture against code, configuration and runtime evidence. Drift is surfaced, not discovered in the next program.
Pilot measurement framework
Discovery lead time
Time from project start to a trusted capability and dependency model
Senior engineering hours
Architect, SME and DBA hours spent finding and reconciling facts
Coverage rate
% of affected components discovered automatically and validated
Reuse rate
Existing APIs and services identified and reused rather than duplicated
Change defects
Missed-dependency incidents attributable to incomplete discovery
Knowledge freshness
Age of capability and ownership data before and after continuous reconciliation
Value unlocked

Six ways Fosura changes what your estate delivers.

Technical intelligence only matters if it produces measurable business results. Fosura is sold and measured against outcomes, not against the number of nodes in the graph.

Program delivery capacity

How much of each program budget goes to actual delivery vs. discovery overhead, across successive programs.

Baseline (without Fosura)Delivery (with Fosura)
25%50%75%100%38%Program 152%Program 265%Program 376%Program 485%Program 591%Program 6
+56%
more delivery capacity by program 6
6–12w
discovery time eliminated per program
compounding
knowledge preserved across programs
01

Faster modernization

Start transformations with an evidence-backed map of capabilities, dependencies and owners. Less time assembling context. More time delivering the change.

  • Shorter transformation cycles
  • Earlier realization of benefits
  • Less spend consumed by rediscovery
02

Better change impact analysis

Trace a planned change from a business capability through applications, data, APIs, queues, channels and owners before implementation.

  • Lower change failure rate
  • Fewer incidents from missed dependencies
  • Reduced remediation and rollback cost
03

Higher API reuse

Find existing interfaces by what they do, not by API name or owning team. Surface semantic differences before building a third equivalent.

  • Faster product and partner launches
  • Lower duplicate engineering spend
  • More capacity for revenue-generating work
04

Institutional memory

Reduce dependence on a small number of legacy SMEs by preserving evidence, business semantics, ownership and decisions in a living graph.

  • Lower key-person dependency
  • Faster onboarding and handover
  • Preserved knowledge between programs
05

AI readiness

Give AI programs a governed inventory of approved capabilities and data interfaces. Less time rediscovering systems and negotiating access.

  • More AI initiatives reaching production
  • Faster time to approved data access
  • Reuse of governed capabilities across use cases
06

Vendor and cloud optionality

Maintain a bank-owned semantic map independent of any single integration vendor or hyperscaler. Negotiate from knowledge, not dependency.

  • Stronger vendor negotiating position
  • Lower switching and migration friction
  • Progressive modernization without lock-in

Next step

Measure it against your own baseline.

Fosura is sold and measured against outcomes, not against the number of nodes in the graph.

Request a pilotRead the architecture