RESOURCES → KNOWLEDGE → WHITEPAPERS
A technical publication layer for architecture papers, implementation frameworks, technical briefs, governance models and engineering documentation — versioned, dated, and honest about what is conceptual versus validated.
Where can technical and implementation readers go when they need enough depth to evaluate DISHA seriously?
Featured architecture paper · v1.2 · 2026-09-15
The full architecture paper: evidence objects, versioning, provenance chain and the read/write API surface of the Genome.
Abstract — the Genome models human capability as versioned, provenance-carrying evidence objects rather than rows in an HR table. This paper specifies the object model, the read/write API surface, the provenance chain, and the boundaries that keep AI answers explainable — with limitations stated rather than footnoted away.
The full architecture paper: evidence objects, versioning, provenance chain and the read/write API surface of the Genome.
DISHA Architecture Team · Updated 2026-09-15 · 30 min · Cross-industry · Technical readers
How capability drift is modeled from consented signals while keeping purpose limitation and minimization intact.
DISHA Architecture Team · Updated 2026-08-28 · 24 min · Cross-industry · Technical readers
The four adoption patterns, their API/event contracts, failure modes and the governance model for each.
DISHA Architecture Team · Updated 2026-08-20 · 26 min · Cross-industry · Technical readers
The agent architecture, scope enforcement, evidence obligations and human-authority gates across the DISHA agent fleet.
DISHA Architecture Team · Updated 2026-09-05 · 28 min · Cross-industry · Technical readers
So technical readers know where to look — and where the honest parts live (limitations and the change log are never optional).
2026-09-15
Read/write API surface documented; provenance chain expanded
2026-08-30
Evidence-object versioning clarified; retention controls added
2026-08-10
First public draft of the Genome architecture (illustrative)
Technical governance: papers distinguish conceptual proposals from validated capabilities, carry version and change log, and never overstate what is implemented. Illustrative library now; real papers publish here.
Does DISHA replace our HRIS/ATS/LMS?
No — it overlays them through governed APIs and events; adoption patterns and contracts are specified in the integration paper.
Can AI make decisions here?
No — agents recommend and explain within authorized scope; decisions stay human, and every output carries evidence and a review path.
