Sahay
sahay - support, help that carries weight
Connect architecture decisions to what they actually cost to run.
Sahay is the spend-less half of the engineering portfolio. Where Nirmiti helps a team build a system quickly and consistently, Sahay works on what that system costs to run: connecting code architecture to cloud infrastructure cost, surfacing third-party SaaS and API dependency spend, quantifying the maintenance cost of legacy monoliths, and finding duplicated implementations worth consolidating. It makes total cost of ownership a number an engineering team can act on.
Workflow
Problem
Cloud, SaaS, and maintenance spend is reported by vendor and account, never by the architectural decision that caused it, so cost conversations never reach the code.
Outcome
Total cost of ownership attributed back to architecture, dependencies, and technical debt, where it can actually be changed.
01
Connect the spend
Cloud, SaaS, and tooling cost is pulled in alongside the repositories and services that generate it.
02
Attribute it
Spend is mapped to services, dependencies, and architectural decisions rather than to billing accounts.
03
Find the waste
Duplication, unused dependencies, and disproportionate maintenance cost are surfaced with evidence.
04
Model the change
Modernization and consolidation options are projected against the cost they would remove.
Modules
Architecture-to-Cost Mapping
Cloud infrastructure spend traced back to the services and decisions that drive it.
Dependency Spend
Third-party SaaS and API dependency cost surfaced against actual usage.
Technical Debt Economics
Legacy monolith maintenance cost quantified so modernization is argued on numbers.
Duplication Detection
Repeated implementations found and consolidated into shared, maintained utilities.
Representative use cases
Cloud Native Microservices Architecture Total Cost of Ownership Optimization
A high growth fintech enterprise operating 120 Kubernetes microservices across multiple AWS and Google Cloud regions, processing 80 million daily financial API calls.
Legacy Code Refactoring & Technical Debt Remediation Acceleration
A 15 year old enterprise logistics software company with a large monolithic codebase consisting of 2 million lines of legacy Java and JavaScript code.
Third Party SaaS & Cloud API Dependency Spend Optimization
An omnichannel retail platform integrating over 60 third party SaaS tools, payment gateways, geocoding APIs, SMS aggregators, and authentication services.
Optimizing Cloud Commitment Coverage Against Real Workload Shape
An engineering organization holds reserved instance and savings plan commitments purchased two years ago against a workload that has since changed substantially.
Attributing Build and Test Pipeline Compute Cost to Its Source
A platform team's CI compute spend has tripled in eighteen months with no corresponding change in headcount or release frequency.
Evidence
What Wayam can show for this entry
Curated solution design with an owner and a review date. No performance or production claim.
Allowed claims at this tier: Possible workflow, typical stack, prerequisites.
- Evidence tier
- T4 · Reference pattern
- Integration status
- Typical enterprise system
- Metric status
- Scenario only
- Evidence owner
- Not yet attached
- Validated
- Not yet attached
- Valid until
- —
- Content version
- 2026.09
Pending evidence attachment
This entry represents an enterprise architectural reference pattern. Customer benchmarks, run replays, and metric verifications are established during technical discovery.
Limitations
- Headline metrics are representative until a customer result is attached.
Representative metrics · Reference · scenario only
Attributed
cost mapped to architecture, not accounts
Per dependency
SaaS and API spend against usage
These describe the intended outcome of the design. They are not measured customer results until a validated case is attached above.
Architecture & controls
Composed across the operating loop
Ingest
Connect the systems of record and read the signals the work already produces.
Covered by the platform
Reason
Ground context, score options against policy and the stated goal, draft the next step.
10 agent roles
Act
Execute an approved step in the system of record and keep the evidence.
Covered by the platform
Govern
Set policy, gate consequential actions on a named approver, and audit what ran.
Covered by the platform
Pack Architecture & Agent Composition Graph
10 Composed Agents- AGT-0100
Close Acceleration Agent
Finance
- AGT-0101
AP Invoice Processing Agent
Finance
- AGT-0102
AR Collections Agent
Finance
- AGT-0222
Incident Triage Agent
IT Operations
- AGT-0223
Root Cause Analysis Agent
IT Operations
- AGT-0224
Change Risk Assessment Agent
IT Operations
- AGT-0237
CI/CD Build Failure Diagnosis Agent
Software Engineering
- AGT-0250
Code Completion Agent
Software Engineering
Control gates
- A named approver on every consequential write-back
- Evidence and audit trail kept with every run
Capability atoms
- system-connectors
- anomaly-detection
- root-cause-reasoning
- forecasting
- workflow-orchestration
Typical enterprise systems
Typical stack for solution design; compatibility is validated during discovery.
- SAP S/4HANA
- Workday
- Oracle NetSuite
- Snowflake
- SAP MCP
- Dun and Bradstreet API
- ServiceNow ITSM
- Datadog
Designed for
technology, financial-services, retail-cpg
Business case
Model a Sahay scenario with your own baseline
Three scenarios from the numbers you enter. Capacity released is time; it becomes a saving only when roles or costs are actually removed or avoided.
| Scenario | Improvement | Capacity released | Cashable savings | Net annual | Payback |
|---|---|---|---|---|---|
| Conservative | 9% | — | — | — | — |
| Expected | 18% | — | — | — | — |
| Upside | 24% | — | — | — | — |
Enter an annual volume and a baseline cost to see figures.
Illustrative planning scenario, not a guarantee. Results depend on process baseline, adoption, data quality, integration scope, controls, and deployment costs.
Pilot this
From solution design to a bounded pilot
Step 1 · 3–4 weeks
Discovery Sprint
Validate the workflow, data, controls, baseline and business case before anything is built.
Gate: Blueprint and pilot plan signed by the business owner, technical owner and Wayam.
Step 2 · 6–10 weeks
Bounded Pilot
Prove quality and value on agreed data against agreed acceptance tests.
Gate: Acceptance thresholds met on the evaluation set; go/no-go decision recorded.
Agrani · evidence pending3 Agrani candidates in this solution: Incident Triage Agent, Change Risk Assessment Agent, Test Generation AgentPairs well with