πŸ€– Enterprise AI Agents
πŸ† Trusted by Fortune 500 β€’ SOC 2 Compliant β€’ Production-Ready

Hire Enterprise AI Agent Developers

Production-grade AI agents with secure tool use, evals, and measurable ROI for operations leaders

180+
Production Deployments
10 days
Time to First Pilot
0
Security Incidents
Discuss Your Project β†’

🎯 Free AI workflow assessment β€’ ⚑ Start in 48 hours β€’ πŸ† Enterprise-grade delivery

πŸ† ENTERPRISE COMMITMENT

Why Leading Companies Choose AHK.AI

⚑

Production-Ready

Enterprise-grade AI workflows built with security, scalability, and reliability baked in from day one.

🎯

Predictable Delivery

Clear milestones, transparent timelines, and dedicated project management ensure on-time execution.

πŸ”’

Enterprise Security

SOC 2 compliant processes, NDA protection, and secure infrastructure for your sensitive data.

What AI Agent Developer Can Do For You

βœ“ Design task-safe AI agents with clearly scoped permissions, policies, and audit trails for regulated environments.
βœ“ Build LangGraph/LangChain orchestration for multi-agent systems that plan, research, and act across complex workflows.
βœ“ Implement Retrieval Augmented Generation (RAG) against your private data with vector stores, caching, and grounding.
βœ“ Integrate GPT-4o, Claude 3.5, Gemini, or Llama 3 models into enterprise applications with SSO and least-privilege access.
βœ“ Connect agents to operational tools (Salesforce, ServiceNow, Netsuite, Jira, Slack) to trigger approvals and transactions.
βœ“ Engineer robust tool-calling logic with fallbacks, rate limits, and human-in-the-loop review for sensitive steps.
βœ“ Deploy agents on VPC or on-prem GPUs for data residency, paired with secrets management and SOC 2-ready controls.
βœ“ Implement long-term memory, session state, and profile awareness so agents remain contextually reliable over time.
βœ“ Add evaluation harnesses (LLM-as-a-judge, regression suites) and telemetry to monitor drift and prevent hallucinations.
βœ“ Stand up support, finance, and ops agents that create tickets, reconcile records, and push updates with full observability.

Why Hire Through AHK.AI

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Guardrails First

Role-based permissions, approvals, and audit logs so agents stay compliant and safe.

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ROI You Can Prove

We instrument agents with KPIs and reporting so you can show savings and throughput gains.

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Enterprise Integration

Deep integration with CRMs, ERPs, and ticketing systems to trigger real business outcomes.

⏱️

Fast Iteration

Pilot in days, harden with evals, and scale confidently with monitoring and rollback.

How Our Enterprise Delivery Process Works

Structured workflow from discovery to production deployment

1

Use-Case & Risk Mapping

We define the agent persona, success metrics, data sources, and guardrails required for safe automation.

2-3 Days
2

Prototype & Evals

We build a pilot with system prompts, test harnesses, and offline evals to harden reasoning quality.

1 Week
3

Tool & Data Integration

We connect APIs, data layers, and permissions so the agent can take action with auditable logging.

1-2 Weeks
4

Hardening & Launch

We red-team, monitor in staging, and deploy with SLAs, dashboards, and a rollback path for production safety.

Ongoing

Enterprise Engagement Models

Dedicated Resources

For ongoing AI automation needs

$100 - $250
  • βœ“ Long-term dedicated team
  • βœ“ Flexible capacity scaling
  • βœ“ Priority support included

Average enterprise engagement: $12,500

Industries We Serve

Financial Services
Healthcare & Life Sciences
SaaS & Technology
E-commerce & Retail
Logistics & Supply Chain
Professional Services
Real Estate & PropTech
Customer Support & BPO

Frequently Asked Questions

How much does it cost to hire an AI agent developer? +
AI agent developers on AHK.AI charge $100-$250/hour. Most production deployments range from $5,000-$50,000+ depending on security requirements, integrations, and evaluation depth. The average build costs around $12,500.
What's the difference between an AI agent and a chatbot? +
Chatbots answer questions; AI agents plan, decide, and take action with tools and APIs. Enterprise agents include guardrails, audit logs, and evaluation harnesses so they can execute multi-step workflows safely.
Which AI models do your developers work with? +
We work with GPT-4o, Claude 3.5, Gemini 1.5, Llama 3, Mistral, and domain-specific models. We select models based on latency, privacy, and cost targets for your use case.
How long does it take to build an AI agent? +
A pilot can ship in 1-2 weeks. Complex multi-agent systems with custom integrations typically take 4-8 weeks including testing and hardening. We start with a scoped proof of concept to validate ROI before scaling.
What are the ongoing costs for running an AI agent? +
Ongoing costs cover model/API usage, hosting, vector storage, and monitoring. Most teams spend $50-$800/month per agent at steady state. We model usage and set budgets with alerting before launch.
Can AI agents access my private company data? +
Yesβ€”securely. We implement RAG with access controls, redaction, and encryption. Data is retrieved per request, not shared for training, and all access is auditable. On-prem and VPC deployments are available for sensitive workloads.
How do you prevent the AI from hallucinating? +
We ground responses on retrieved data, use chain-of-thought with self-consistency, and run offline evals against golden datasets. Live agents include guardrails, human review for risky actions, and monitoring to catch drift.
Do you support open-source local models? +
Yes. For strict data privacy, we deploy agents with local models (Llama 3, Mistral) inside your VPC or on-prem GPUs, ensuring data never leaves your environment.
How do you ensure agents don't take unauthorized actions? +
We scope permissions, add approval steps for high-risk actions, and log every tool call. Role-based access control, secret vaults, and runtime policy checks prevent unauthorized changes.
What does post-launch support look like? +
We provide runbooks, dashboards, and SLAs. Optional retainers cover regression testing after model updates, prompt tuning, and incident response so the agent remains stable in production.

πŸš€ Let's Discuss Your Project

Share your requirements. We'll scope the solution and deploy a senior AI Agent Developer expert to deliver results within 48 hours.

🎯 Free technical assessment
⚑ Start in 48 hours
πŸ† Enterprise-grade delivery

Our team will review your requirements and contact you within 48 hours