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Explore the six services

Software. Automation. Intelligence.

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ApproachScope. Evidence. Ownership.

A delivery path with explicit exits.

Software projects fail when assumptions stay unstated. The lifecycle makes scope, evidence, and handover visible before they become disputes.

Discuss a project See the evidence

Discovery & requirements

1–2 sprints

Deconstruct the operational bottleneck and determine technical feasibility before committing to a build.

Key activities

  • Stakeholder interviews to map existing manual workflows, decisions, and pain points.
  • Source data hygiene inspection, schema evaluation, and volume/cardinality analysis.
  • Evaluation of deterministic code versus AI automation trade-offs. Not every problem needs a model.
  • A preliminary architecture draft and explicit interface boundaries.

Deliverable

Technical requirements specification and discovery summary

Architecture & scope contract

1 sprint

Lock the architecture, data model, and acceptance criteria before writing production code.

Key activities

  • Entity-relationship diagrams, API schemas, and component boundaries.
  • Selection of a small, battle-tested runtime and framework set.
  • Acceptance criteria, edge cases, and error-budget parameters written down.
  • Fixed-scope sprint milestones with explicit delivery dates.

Deliverable

Architecture blueprint, data contract, and sprint roadmap

Design & implementation

2–6 sprints

Build the system in reviewable increments, with tests written alongside the feature code.

Key activities

  • Frontend components built to WCAG 2.2 AA expectations.
  • API, queue, and schema work with validation at the boundary.
  • Dimensional models or retrieval indexes designed for the actual query pattern.
  • Automated unit and integration coverage added with each increment.

Deliverable

Deployable staging builds and sprint review demos

Testing & validation

1–2 sprints

Subject the system to adversarial inputs, failure paths, and accessibility checks.

Key activities

  • Synthetic query suites for retrieval precision, recall, and groundedness.
  • Responsive checks at 360, 390, 768, 1024, and 1280px widths.
  • Simulated upstream outages to verify retries, idempotency, and dead-letter handling.
  • Keyboard navigation, focus management, and screen-reader verification.

Deliverable

QA validation report, benchmark matrix, and audit checklist

Documentation & handover

1 sprint

Make the system operable by the team that inherits it, without a permanent dependency on the builder.

Key activities

  • OpenAPI 3.0 documentation with request examples and response schemas.
  • Developer runbooks for local setup, deployment, and rollback.
  • Deployment on your accounts, with the environment and credentials documented.
  • Full repository and intellectual-property ownership transfer.

Deliverable

Repository, API docs, runbook, and deployment guide

Support & iteration

Scoped / SOW

Keep the system stable and improve it only against an agreed scope.

Key activities

  • Application telemetry, error tracking, and uptime alerts.
  • Dependency upgrades, security patching, and schema maintenance.
  • Scheduled architectural reviews and telemetry analysis.
  • Scoped extensions for new modules as the business changes.

Deliverable

Monitoring, health checks, and scoped sprint support

The requirement
chooses the tool.

Discovery includes evaluating deterministic code against AI automation. The diagram illustrates that trade-off; it does not add a mandatory branch to the delivery sequence.

Explore the capabilities

Concept preview · discovery trade-off

Workflow, data & decisions

Deterministic code

Evaluation of deterministic code versus AI automation trade-offs. Not every problem needs a model.

Read the feasibility framework

Applied AI

Evaluating document variance, error tolerance, and business ROI before selecting AI methods over deterministic code.

Explore the scoped AI approach

Handover is a deliverable, not a favour.

Timelines, pricing, maintenance terms, hosting, and acceptance criteria are formalized in a statement of work before a sprint starts. Scope changes are handled through explicit amendments.

What leaves with you

  • Architecture blueprint
  • Data contracts
  • OpenAPI reference
  • Developer runbook
  • Test and validation record
  • Deployment guide
  • Repository ownership
  • Handover walkthrough

Capability, approach,
then evidence.

Explore what Zenthra offers, how work is scoped, and the actual artifacts available to inspect. Each answers a different question.

Start with an honest scope.

An exploratory conversation is not a sales sequence. It is where we establish whether the problem is worth building for.

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