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Services

Services for Executives

For CTOs, CIOs, and Heads of Engineering: identify the few constraints throttling time‑to‑market and margin, then install operating rhythms that connect engineering signals to portfolio and spend decisions.

Common obstacles at scale

Noisy QA signals

Engineering: Flaky tests, inconsistent status mapping, dashboards no one trusts.
Financial: Burned cycles and risk-averse releases; high cost of delay.

Cloud costs drift

Engineering: Workloads over-provisioned; poor SLO fit; limited visibility to unit costs.
Financial: Margin pressure from unplanned spend and zombie resources.

Release risk vs. velocity

Engineering: Contract breaches caught late; env parity gaps; manual gates.
Financial: Rollback/incident cost; slower roadmap; stakeholder churn.

Siloed pipelines

Engineering: Teams run different tools; no shared baseline or governance.
Financial: Duplicated infra/tooling and fragmented reporting.

Observability gaps

Engineering: Logs/metrics/traces exist but don’t drive action at PR/release time.
Financial: Ops toil and longer MTTR with unclear ownership.

Talent bandwidth

Engineering: Senior ICs firefighting; no time for enabling patterns.
Financial: Opportunity cost and attrition risk.

What we deploy

QA Modernization

Obstacle

Noisy quality signals & uncertain release gates

Solution
  • Single-source quality signal with reliable status mapping
  • Risk-based, automated gates at PR and release
  • Flake isolation and baseline comparisons
Outcome
  • -40% debug time
  • Trusted dashboards
  • Clear go/​no-go gates

Cloud & Infra

Obstacle

Costs drift and SLOs that don't match reality

Solution
  • Right-size services to demand; autoscaling tuned to SLOs
  • Unit economics visibility (cost per request/build)
  • Guardrails with templates, budgets, and alerts
Outcome
  • -20–35% spend
  • Fewer wakeups
  • Predictable scaling

Product Delivery

Obstacle

Velocity stalls from environment and process variance

Solution
  • Trunk-focused flow with preview environments and automated checks
  • Reusable release templates and explicit ownership
  • Delivery patterns for web/mobile that minimize regressions
Outcome
  • 2× release cadence
  • Lower change-fail
  • Happier stakeholders
-40%
Debug time
-20–35%
Cloud spend
2×
Release cadence
↓
Change‑fail

What 10× potential looks like in 6 months

By realigning QA to business priorities, automating delivery pipelines, and reducing cost per feature, we help CXOs unlock growth without ballooning headcount.

2× release cadence

Ship value twice as often, with confidence

-20–35% cloud spend

Stop margin leakage, reinvest in growth

+30% client retention

Meet market windows, keep strategic accounts

Talent stability

Free ICs from firefighting, reduce attrition

How we work

  1. Step 1
    Discovery

    30‑min call → scope & goals

  2. Step 2
    Assessment

    Repo/infra review, gaps

  3. Step 3
    Pilot

    2–3 week outcome demo

  4. Step 4
    Scale

    Rollout patterns & CI gates

  5. Step 5
    Operate

    Dashboards & SLOs

FAQs

Can you start with an audit?+

Yes—code/infra/a11y audit with prioritized fixes and a pilot plan.

Do you work with in‑house QA?+

Absolutely. We enable your team with patterns, not replace them.

Tooling locked?+

We prefer open source and keep you portable across vendors.

Time zone & comms?+

India (IST). Async by default; weekly checkpoints; Slack/Email.

Ready to cut cost per feature and double velocity?

Schedule a 30‑minute discovery call.

Book a Call