Flagship service
Agentic Development Implementation
Production agentic systems, engineered. We design and build the agents your business runs on — on the right frameworks, integrated into your stack, with the governance and reliability enterprises require.
- From prototype to production, not just pilots
- Vendor-neutral — right framework for the job
- Evals, guardrails & observability built in
- Delivered with agentic-agile (BMAD-METHOD)
What it is
Most teams can demo an agent. Few can ship one that holds up in production.
The gap between a working prototype and a governed, reliable system is engineering — evaluation, guardrails, integration, observability and security. That gap is exactly what Codebooq closes.
We design and build agentic systems around your real workflows and data, deploy them into your stack, and make them measurable and safe to run — then hand your team what they need to operate and extend them.
Capabilities
Everything it takes to put agents into production.
Agent & multi-agent architecture
Single agents and orchestrated multi-agent systems, designed around your workflows — not a generic chatbot bolted on.
Orchestration & routing
Stateful, auditable control flow: planning, handoffs, conditional routing and recovery, built to run reliably in production.
Tool & MCP integration
Agents that act — wired into your systems and data through the Model Context Protocol and custom tool interfaces.
Retrieval & context
RAG and context pipelines that ground agents in your knowledge, with the right freshness, permissions and precision.
Human-in-the-loop
Approval gates, escalation paths and review steps so autonomy stays inside the bounds your business requires.
Evaluation & guardrails
Eval harnesses, regression suites and guardrails that prove an agent works — and keep proving it as models change.
Observability / LLMOps
Tracing, metrics and cost controls so you can see what agents do, debug fast, and report ROI with confidence.
Production deployment
Hardened, secure deployment into your cloud and stack — with the governance regulated industries demand.
Frameworks
The right framework for the job — not a single vendor’s bet.
We’re fluent across the agentic ecosystem and stay vendor-neutral, so the architecture serves your needs today and survives the tools that replace them tomorrow.
We build with agents, too.
Beyond the build frameworks, we deliver using BMAD-METHOD — structured agentic-agile workflows with role-based agents (Analyst, PM, Architect, Dev, QA) across analysis, planning, architecture and implementation. It makes our engagements repeatable and accountable — and it’s living proof that we don’t just talk about agentic development, we practice it.
Why Codebooq
Engineers who ship agents — not a slideware shop.
Build, not just advise
We ship working agentic systems into real production environments — the engineering, not the slideware.
Framework-fluent & neutral
We pick the right tools for the job instead of locking you to one platform — and design so today’s choice survives tomorrow’s models.
Enterprise-grade by default
Governance, evaluation, observability and security built in — because our roots are in regulated, high-stakes systems.
We build with agents too
We deliver using agentic-agile methods like BMAD-METHOD — living proof we practice agentic development, not just talk about it.
How we engage
A scoped path that de-risks every step.
You always know the deliverable, the timeline and the value before you commit to the next phase.
- 011–2 weeks
Clarity
We assess your stack, data and workflows, pinpoint the highest-value agentic use cases, and deliver a costed roadmap and a clear recommendation.
- Diagnostic & maturity view
- Prioritized use cases
- Costed roadmap
- 024–8 weeks
Pilot
We build a real agentic system against a real workflow — with evals, guardrails and observability — and prove value under production conditions.
- Working agentic pilot
- Eval & guardrail suite
- Measured results
- 03Ongoing
Production
We harden, integrate and scale the system into your environment, then hand over the playbook so your team can run and extend it.
- Hardened deployment
- Monitoring & LLMOps
- Team enablement & playbook
Where it pays off
Agentic use cases in the industries we know.
Governed, high-value workflow automation — the use cases where reliability matters and we have the domain depth to deliver.
Agentic operations and compliance workflows — document processing, reconciliation and review with full auditability.
Agents that triage exceptions, coordinate across systems and automate planning across the chain.
Agentic assistants over manufacturing data and operations, paired with high-performance machine software.
Autonomous monitoring and remediation across a device fleet — acting within set bounds, escalating the rest.
FAQ
Common questions.
Which agentic framework do you use?
Whichever fits the job. We’re fluent across LangGraph, CrewAI, the OpenAI Agents SDK, the Claude Agent SDK, Google ADK and MCP, and we choose based on your requirements — production-readiness, statefulness, integration needs — rather than a single house bet. We also design so the architecture survives the models and tools that replace today’s.
How do we get started — do we have to commit to a big build?
No. We start small: a 1–2 week clarity phase to find the highest-value use case, then a scoped pilot that proves value in production conditions before you commit to scaling. You always know the deliverable, timeline and cost before the next step.
How do you keep agents safe and under control?
Guardrails, human-in-the-loop approval gates, evaluation harnesses and observability are part of the build, not an afterthought. Autonomy stays inside the bounds you set, and you can see and audit what every agent does.
Will this work with our existing systems and data?
Yes — that’s the point. We integrate agents into your stack and data through MCP and custom tooling, with the right permissions and context, and deploy into your cloud rather than a black box.
Are we locked into a vendor or model?
No. We’re vendor-neutral and don’t resell a platform. We build the capability around the technology — orchestration, evals, governance — so you can swap models or tools as the landscape shifts.
How do you measure whether an agent is actually working?
With evals and a measurement system from day one: task success rates, quality scores, cost and latency, and business KPIs tied to the workflow — so you can show the board a real return.
How is this different from buying an off-the-shelf AI tool?
Off-the-shelf tools solve generic problems. We engineer systems around your specific workflows, data and constraints — and we’re accountable for getting them into production and keeping them reliable as things change.
Stop piloting. Start shipping.
Have a workflow worth automating?
Start with a readiness assessment — we’ll map the highest-value agentic use cases in your business and tell you, honestly, what’s worth building.