AI Development
AI Agent Development Services
We build AI agents that plan, call tools, and complete tasks safely. Expect permission-aware actions, RAG grounding, measurable quality checks, and a handoff your team can extend.
Overview
What this service is
We turn real tasks into agent workflows: gather context, ask the right follow-ups, call tools, and produce structured outputs your systems can trust.
Tool access is engineered for safety—allowlists, schemas, approvals, and audit trails—so agent actions remain predictable and debuggable.
Delivery includes evaluation tests, monitoring, and fallbacks so performance improves over time instead of drifting as prompts, tools, and models change.
Benefits
What you get
Automate work without breaking trust
Agents take actions with guardrails and approvals so you can automate safely.
Faster resolution for repetitive workflows
Triage, routing, summaries, and updates happen in minutes—not hours of manual work.
RAG grounding for higher accuracy
Agents can reference your docs and systems to reduce guessing and improve reliability.
Quality you can measure
Eval suites and regression checks make improvements safe and repeatable.
Operational visibility from day one
Tracing and logs show where agents fail, what they used, and how to fix it.
Features
What we deliver
Tool-calling agent architecture
Structured tool schemas, routing logic, and bounded actions aligned to your systems.
Approvals + safe execution
Human-in-the-loop approvals for risky actions, plus constraints for safe defaults.
RAG context and memory strategy
Permission-aware retrieval, session memory, and context windows that stay relevant.
Reliability patterns
Retries, idempotency, timeouts, and clear failure UX for tool and model errors.
Evaluation and regression testing
Golden tasks, automated scoring, and regression gates for tool-call correctness.
Monitoring + cost controls
Tracing, token/cost analytics, and caching/routing to keep production usage predictable.
Process
How we work
Workflow mapping
We define tasks, tool boundaries, approval points, and success metrics for the agent.
Tooling + schemas
We implement tool contracts, validation, and permission-aware access patterns.
Agent build
We build routing, memory/context logic, and the execution loop with safe defaults.
Evals + hardening
We add test cases, monitoring, retries, and failure handling for production stability.
Rollout + handoff
We ship with docs, dashboards, and a roadmap for iterative quality improvements.
Tech Stack
Technologies we use
Core
Tools
Use Cases
Who this is for
Support triage agent
Classify tickets, fetch account context, draft replies, and escalate with structured summaries.
Sales qualification agent
Ask follow-ups, score leads, enrich CRM fields, and schedule next steps via tools.
Ops workflow agent
Create tasks, update statuses, and generate reports while preserving audit-friendly trails.
Internal copilot for dashboards
Explain metrics, propose actions, and execute safe changes through approved tool catalogs.
Document-heavy agent
Answer from policies and manuals with citations, then generate structured outputs for downstream steps.
FAQ
Frequently asked questions
Anything with an API: CRMs, ticketing systems, databases, internal services, and webhook-based automations. We design a safe tool surface with validation and allowlists.
We use constrained schemas, RBAC-aligned permissions, allowlisted tools, and human approvals for sensitive operations. We also log tool calls for auditability.
Yes. We create eval datasets and regression checks so you can track accuracy, tool-call correctness, latency, and cost as you iterate.
Yes. We can route across providers and models based on cost/latency needs while keeping the workflow stable.
Yes. You receive the full codebase and handoff notes, plus recommendations for safe iteration and expansion.
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Ready to ship an agent that actually works?
Share the workflow, tools to connect, and success criteria—we’ll propose a scoped plan, timeline, and rollout approach.
Evals + logging + guardrails included.