AI Agent Development Services

Custom AI Agents, built and deployed in 4 weeks

We design, build, and ship production-ready AI agents for your business — from lead qualification and customer support to fleet dispatch and internal ops automation. Every engagement ends with a deployed system, not a slide deck.

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30 minutes · no slides · actionable shortlist of use cases you can take to anyone

4 weeks
Pilot-to-production
100+
Agents shipped
30+
Countries served
7+
Agent frameworks

What is AI agent development?

AI agent development is the practice of designing, building, and deploying software systems that can reason, plan, use tools, and take actions autonomously to accomplish business goals. Unlike traditional chatbots, AI agents connect to your APIs, databases, and SaaS tools — and execute multi-step workflows with human-in-the-loop approval where needed.

Cognio Labs builds custom AI agents for businesses that need more than an off-the-shelf chatbot. We specialize in multi-agent systems, RAG-grounded knowledge agents, and production-grade deployments on open-source platforms like OpenClaw and Hermes. Most engagements go from kickoff to deployed agent in 4 weeks.

What we build

Four categories of AI agents cover ~90% of the workflows where agents deliver real ROI.

Customer-Facing Agents

24/7 conversational agents that qualify leads, answer product questions, and handle support across web, WhatsApp, Slack, and email.

Lead qualificationTier-1 supportAppointment bookingProduct recommendations

Internal Ops Agents

Agents that automate repetitive back-office work — invoice processing, CRM hygiene, report generation, onboarding flows.

CRM auto-updateInvoice/AP processingWeekly report generationEmployee onboarding

Multi-Agent Systems

Coordinated agent swarms where specialists hand off to each other — research agents, writing agents, review agents, dispatch agents.

Content pipelinesResearch + synthesisFleet dispatchCompliance workflows

RAG & Knowledge Agents

Agents grounded in your docs, tickets, and data — with citations, freshness, and permission filters so they never hallucinate.

Internal docs Q&APolicy assistantsSales enablementTraining copilots

Why most AI agent projects fail — and how we prevent it

Your PoC stalled

We ship production-ready agents, not demos. Every engagement ends with a deployed system, not a slide deck.

Security review killed it

Enterprise-grade security is default, not an add-on: prompt-injection defense, tool allowlists, audit trails, credential scoping.

Off-the-shelf tools don't fit

Agents are shaped around your workflows, tools, and data — not a vendor's assumptions. You own the code.

Can't measure ROI

Every agent ships with a success metric agreed up front. We instrument and report on it from day one.

Our AI agent development process

Five stages, week-by-week. No mystery, no surprises.

01
Day 0

Discovery Call (Free, 30 min)

We diagnose where agents will actually return ROI — and where they won't. You leave with a 1-page shortlist of use cases ranked by impact and feasibility, whether you hire us or not.

02
Week 1

Architecture & Scoping

We design the agent architecture, pick the right models and frameworks, and define clear success metrics. You approve the scope before a line of code is written.

03
Weeks 2–3

Build & Integrate

Our team builds the agent, integrates with your tools (CRM, Slack, databases, APIs), configures memory, guardrails, and human-in-the-loop approvals where needed.

04
Week 4

Deploy & Harden

Production deployment on your infrastructure or ours. Prompt-injection defenses, tool-call sandboxing, audit logging, and full observability dashboards.

05
Ongoing

Optimize & Scale

Weekly optimization calls. We monitor real usage, tune prompts and retrieval, and expand capabilities based on what your users actually do.

Model-agnostic. Framework-pragmatic.

We pick the right tool for each problem — you're never locked into a single vendor.

LangGraph
Stateful multi-agent orchestration
OpenClaw
Open-source agent swarm platform
Hermes Agent
Nous Research's open reasoning agent
MCP
Model Context Protocol for tool use
CrewAI
Role-based agent teams
Anthropic + OpenAI
Claude Opus 4.7, GPT-5, Haiku
OpenRouter
Model routing and failover
Vector DBs
pgvector, Pinecone, Qdrant, Weaviate

Transparent pricing

Fixed-fee engagements. No hourly billing. No surprises.

Pilot

From $8,000
2–3 weeks

A single production-ready agent with one integration and deployment.

  • One focused use case
  • Up to 2 tool integrations
  • RAG with your documents
  • Deployment on your cloud
  • 14 days of support
Most Popular

Production

From $18,000
4–6 weeks

Multi-agent system with full integrations, guardrails, and observability.

  • Multi-agent orchestration
  • Up to 6 tool integrations
  • RAG + memory + feedback loops
  • Security hardening + audit logs
  • Admin dashboard + observability
  • 60 days of support

Enterprise

Custom
6–12 weeks

Mission-critical agents for regulated industries with dedicated team.

  • Dedicated engineering team
  • Custom model fine-tuning
  • SOC2 / HIPAA / GDPR mapping
  • On-prem or VPC deployment
  • SLA-backed support
  • Quarterly strategy reviews

Frequently asked questions

Everything you'd ask a senior engineer before hiring.

What is AI agent development?

AI agent development is the practice of designing, building, and deploying software systems that can reason, plan, use tools, and take actions autonomously or semi-autonomously to accomplish goals. Unlike traditional chatbots, AI agents connect to your APIs, databases, and tools (CRM, email, Slack, internal systems) and execute multi-step workflows — qualifying leads, processing invoices, dispatching fleets, synthesizing research — with human-in-the-loop approval where needed.

How much does custom AI agent development cost?

Cognio Labs' AI agent development pricing starts at $8,000 for a focused pilot agent (2–3 weeks), $18,000 for a production-grade multi-agent system (4–6 weeks), and custom pricing for enterprise engagements with dedicated teams. Final cost depends on use case complexity, number of integrations, security requirements, and whether fine-tuning or custom infrastructure is needed. Book a free discovery call for a scoped quote.

How long does it take to build a custom AI agent?

A focused pilot agent takes 2–3 weeks from kickoff to production. A multi-agent production system takes 4–6 weeks. Enterprise deployments with compliance requirements (SOC2, HIPAA, GDPR) typically run 6–12 weeks. We commit to a production date in week 1 and ship on it.

What frameworks and models do you use?

We pick the right stack for each problem. Our default toolkit includes LangGraph for stateful orchestration, CrewAI for role-based teams, OpenClaw and Hermes for open-source agent platforms, MCP for tool protocols, and models from Anthropic (Claude Opus 4.7, Haiku), OpenAI (GPT-5), and open models via OpenRouter. We're model-agnostic — you're not locked into a single vendor.

Do we own the code?

Yes. You receive the full source code, infrastructure-as-code, documentation, and deployment pipelines. No license fees, no vendor lock-in. We can host it for you, or you can run it on your own cloud — your choice.

How do you prevent prompt injection and data leaks?

Security is default, not optional. Every agent we ship includes: tool-call allowlists and sandboxing, credential scoping per agent, prompt-injection detection at input and output layers, audit logging of every tool call, rate limits, and human-in-the-loop approval gates for high-risk actions. For regulated industries we map to SOC2, HIPAA, or GDPR requirements.

Can you integrate with our existing CRM, database, or internal APIs?

Yes. We routinely integrate with Salesforce, HubSpot, Zoho, Postgres, MongoDB, Slack, Gmail, Google Calendar, WhatsApp, Telegram, Zapier, internal REST/GraphQL APIs, and legacy systems via custom adapters. If it has an API or a database, we can wire an agent to it.

Who owns the data the agent uses?

You do. Agents run on your infrastructure (or a VPC/tenant we set up in your name), and your data never leaves your environment without explicit controls. We do not train models on your data. You can revoke access at any time.

What happens after the agent goes live?

Every engagement includes a support window (14–60 days depending on tier). After that, you can renew with a monthly optimization retainer — weekly calls, prompt tuning based on real usage, metric reviews, and incremental capability expansion — or take it fully in-house with our handoff documentation.

Can you build on open-source platforms like OpenClaw or Hermes?

Yes — we are specialists in both. If you need a fully on-prem, open-source agent platform, we deploy OpenClaw or Hermes Agent on your infrastructure, configure the agent swarm, and integrate with your tools. See our dedicated OpenClaw setup and Hermes setup services for fixed-fee engagements.

Ready to ship your first AI agent?

Book a free 30-minute discovery call. We'll diagnose your highest-ROI use cases and map out a path from pilot to production — whether you hire us or not.

View Case Studies