Built from Centaurus subagent synthesis

Ship AI automation that cuts ops workload in 30 days.

We implement production-grade automation, harden security, and modernize legacy systems without slowing delivery. For SMB ops teams and technical founders.

Security-first delivery. Clear acceptance criteria. No black-box lock-in.

Proof Points

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-37% manual ticket-routing time

Achieved in 6 weeks after workflow triage automation.

Impact: faster ops throughput

Next step: map your highest-friction workflow first.

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2.4x faster release validation

From QA automation rollout plus CI guardrails.

Impact: fewer risky releases

Next step: baseline your current release cycle time.

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Legacy risk reduction with test-first refactor

Critical flow stabilization before incremental refactor.

Impact: safer modernization

Next step: identify the top 3 brittle modules.

Offers (Priority Delivery Order)

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1) AI Automation Implementation Sprint

Workflow mapping, agent/workflow build, integrations, staged rollout.

Target: 20-40% repetitive task reduction

Next step: run an automation audit.

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2) Security Hardening Pack

Threat review, secrets/permissions fixes, logging, secure defaults.

Target: tighter access and auditability

Next step: list your highest-risk data paths.

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3) Legacy Refactor + Test Stabilization

Risk-first refactor path, characterization tests, safe releases.

Target: fewer regressions during change

Next step: choose one unstable service boundary.

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4) QA Automation Acceleration

High-signal coverage, flaky-test reduction, release confidence gates.

Target: faster and safer deploys

Next step: define release-blocking checks.

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5) Internal Knowledge Assistant (RAG)

Private retrieval with access controls and source traceability.

Target: quicker internal answers

Next step: inventory top document sources.

Process

  1. Week 1: Diagnose systems, bottlenecks, risk map, baseline metrics.
  2. Weeks 2-3: Build highest-ROI slice with acceptance criteria.
  3. Week 4: Harden security checks, tests, observability, runbooks.
  4. Week 5+: Scale handoff, roadmap, optional ongoing support.

Pricing Anchors

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Automation Sprint: starts at $12k

Workflow audit, one production automation, KPI dashboard.

Typical fit: first paid pilot.

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Engineering Hardening: starts at $18k

Security fixes, legacy refactor plan, test gate setup.

Typical fit: stability + security sprint.

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RAG Assistant Delivery: starts at $25k

Ingestion pipeline, permissions model, eval set, launch support.

Typical fit: internal knowledge at scale.

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Ongoing Optimization: from $4k/mo

Continuous tuning, monitoring, and backlog execution.

Typical fit: monthly performance gains.

Final pricing depends on complexity, integration surface, and compliance constraints.

Trust & Risk Reversal

  • No lock-in: code, prompts, tests, and docs stay in your repos.
  • Controlled rollout: staged releases with rollback plan.
  • Security by default: least privilege, secret hygiene, audit logs.
  • Clear success criteria: KPI targets are set before build starts.
  • Low-risk start: paid discovery can be credited into implementation.

FAQ

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How fast will we see value?

Usable first slice in 2-4 weeks; measurable impact often in first 45 days.

We define KPI targets before build starts.

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Will AI expose sensitive data?

We design least-privilege access, secret isolation, and auditable flows.

Security controls are part of delivery, not add-ons.

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Will this break existing workflows?

Rollouts are phased with fallback and rollback, not big-bang swaps.

Each rollout includes a recovery path.

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Are we locked into your stack?

No. You keep all assets and receive full runbooks + handoff docs.

Your team retains control after handoff.

Get a build plan you can execute this quarter.

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