One operating system for production AI.
Codesurance combines architecture, agents, and assurance into a single delivery model. Each practice ships independently — together they form an end-to-end path from idea to operating leverage.
Practice 01
AI Architecture
Production blueprints for AI-native systems.
We design the system architecture that makes AI usable, observable, and economically viable at scale — from data plane to inference plane to the human interface.
Capabilities
- Reference architecture for retrieval, agents, and inference
- Model selection, routing, and cost-performance tuning
- Data pipelines, vector stores, and feature engineering
- Deployment topology across cloud, edge, and on-prem
- Observability, telemetry, and run-state SRE
Outcomes
- A blueprint engineering can build to in weeks, not quarters
- Predictable unit economics per call, per user, per workflow
- Clear decision log for every architectural choice
Practice 02
Agent Engineering
Multi-agent systems that ship.
We build agents that act — orchestrating tools, navigating ambiguity, and integrating cleanly with your existing systems and human reviewers.
Capabilities
- Tool-use design, function-calling schemas, and routing
- Memory, planning, and multi-step task graphs
- Human-in-the-loop UX and review interfaces
- Eval harnesses, regression suites, and golden datasets
- Cost guardrails, rate-limit strategy, and fallbacks
Outcomes
- Agents that pass production-grade eval gates
- Measurable task completion vs. baseline benchmarks
- Clear handoff between automated and human steps
Practice 03
AI Assurance
Trust as a product surface.
We embed safety, audit, and continuous evaluation directly into the engineering lifecycle — so your AI systems are defensible to regulators, customers, and your own teams.
Capabilities
- Safety policies, content controls, and red-team baselines
- Audit trails for prompts, tools, decisions, and overrides
- Continuous evaluation tied to scoring rubrics
- Bias, drift, and degradation monitoring
- Sector frameworks (HIPAA, SOC2, EU AI Act, FCA, NHS DSPT)
Outcomes
- Receipts for every model decision in production
- Pass / fail eval gates wired into CI for AI changes
- A shared risk vocabulary across product, legal, and engineering
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