production systems / audit-ready delivery

Enterprise software systems for reliable digital operations.

Savant Realms helps enterprise teams reduce incidents, control cloud spend, modernize backends, and ship AI-enabled systems with agent orchestration, MCP integrations, and production guardrails.

Lombardy, Italy Remote-first delivery Cloud cost guardrails AI agents & MCP
sr-ops://engagement/runbook
> git checkout -b harden/payments-api && make architecture-review SERVICE=payments-api RISK=high reviewed
> terraform plan -var-file=prod.tfvars -target=aws_iam_role.agent_runtime planned
> pnpm test:agents --mcp --evals --tool-permissions=strict passing
> kubectl rollout status deploy/api && aws cloudwatch get-metric-data --metric latency_p95 stable
01 incident path found
24h rollback plan ready
0? unknowns left unlogged
// operating model

Senior engineering for systems that cannot drift.

We work with teams that need clear architecture, reliable delivery, fewer production surprises, and AI systems that are useful without becoming ungoverned automation. The job is not to add ceremony. The job is to expose risk, ship clean changes, and leave the system easier to operate.

Expect direct technical feedback, pragmatic implementation, and runbooks that recruiters, sales teams, auditors, and engineers can all understand: what changed, why it matters, what agents can do, and how it behaves under load.

// reduce
incidents Make failure modes visible before customers find them.
// control
cloud cost Remove idle spend, set guardrails, and document ownership.
// modernize
backends Untangle legacy flows without breaking core revenue paths.
// orchestrate
agents Design AI workflows with tool permissions, MCP servers, evals, and rollback paths.
// capabilities

Engineering modules, not slideware.

Focused consulting and implementation for enterprise teams that need measurable reliability, lower operational drag, secure AI adoption, and infrastructure that survives audits.

// backend modernization

Software systems

Refactor brittle services, stabilize APIs, and move critical flows toward typed contracts, testable boundaries, and maintainable release paths.

// integration reliability

Systems integration

Connect ERPs, SaaS tools, partner APIs, data feeds, and internal platforms with retries, idempotency, monitoring, and clear ownership.

// cloud cost control

Cloud infrastructure

Harden AWS, Azure, and GCP estates with IaC, access review, backup posture, right-sizing, spend visibility, and rollback-ready deployments.

// ai agent orchestration

AI systems

Agentic development, MCP servers, tool permissioning, eval suites, retrieval flows, and automation that respects audit, security, and human review.

// incident response

Technical consulting

Architecture reviews, production debugging, due diligence, delivery planning, and team coaching from engineers who will say what is broken.

// reference architecture

Cloud-native AI platforms, mapped end to end.

A distributed blueprint for multi-platform software: edge delivery, clustered microservices, agent orchestration, MCP tools, data pipelines, and observability built into the operating model.

Cloud-native clustered microservices AI platform architecture Diagram showing client platforms connected through edge routing to API gateway, clustered microservices, AI agent orchestration, MCP tools, data systems, and observability. clients web / mobile partners / ops edge cdn / waf api gateway cluster auth svc domain api workers mcp tools files / crm / ops agent runtime evals / guardrails event bus + workflows queues / retries / orchestration data plane postgres / mysql vector index / lake control plane iam / secrets policy / audit log observability traces / metrics / runbooks
// contact

Let's get in touch

Legacy platform dragging delivery? Cloud bill climbing? Integration failing silently? AI roadmap stuck between demos and production? Send the problem and we will map the first production-safe move.