An AI agent perceives inputs, reasons about goals, uses tools, and takes actions on its own. It completes a multi-step task without you running it. A chatbot only responds. RPA only follows scripts. An agent makes decisions based on context.

How much does an AI agent cost to build?

Single-purpose agents typically run $8,000 to $25,000. Multi-agent systems with deep integrations run $25,000 to $60,000. Ongoing operations are 10 to 20% of build cost per month.

How long does it take to build an AI agent?

Simple agents (single workflow, clear eval) ship in 4 to 6 weeks. Complex multi-agent systems with novel integrations ship in 8 to 12 weeks.

Which AI agent framework should I use?

It depends on the workload. LangGraph fits complex stateful workflows. CrewAI fits role-based teams. AutoGen fits code and research agents. OpenClaw fits browser and file-system work. We pick per project, based on what survives production.

How do you prevent AI agents from hallucinating or going off-task?

Four layers. Structured outputs with JSON schema validation. Tool-use guardrails. Prompt-injection defense. A circuit breaker that halts on anomalies. We pair this with eval-driven development. Tests run against labeled examples continuously.

Will AI agents replace my team?

They remove the repetitive 60 to 70% of tasks. Your team focuses on the 30% that needs judgment, relationships, and creativity. Our clients reinvest the savings into growth, not layoffs.

AI Agent Development

Agents that close, not agents that demo.

Custom AI agents for sales, support, research, and ops. Built by senior engineers. Shipped with evals, guardrails, tracing, and a runbook.

Book a strategy callSee our work

4–8 wk

build to production

60%

cost reduction on support tickets

pipeline velocity per SDR

100%

of agents ship with evals

Most teams ship AI demos that collapse under real inputs. Ours stay up on day 90. We build every agent like production software: real-data evaluations, hard guardrails, full tracing, no demo theatre.

What we ship

Everything under one roof, delivered by senior operators.

Sales agents

Qualify leads, enrich profiles, schedule meetings, keep pipeline clean. Agents that earn their keep by booking real meetings.

Support agents

Resolve 40 to 70% of tier-1 tickets. Escalate the rest with full context. Write their own playbooks from resolution transcripts.

Research agents

Competitive intel, market research, due diligence, and literature reviews. Run overnight. Deliver briefs, not data dumps.

Ops agents

Internal workflows across Slack, Notion, Jira, Linear, and your CRM. Status updates, follow-ups, onboarding, compliance checks on autopilot.

Multi-agent orchestration

Teams of specialist agents working under a supervisor. Picture researcher plus writer plus reviewer. Or prospector plus qualifier plus closer.

Evals and guardrails

Every agent ships with an evaluation suite. Plus prompt-injection defense, PII handling, rate limits, and an anomaly circuit breaker.

How we build

The frameworks we pick, and why.

Framework selection is an engineering decision, not a fashion one. We match the tool to the workload.

agent 01

LangChain / LangGraph

Our default for complex, stateful agents with branching workflows and many tools.

triggerUsed when graph-based flow control and checkpointing are needed.

Agents that recover from failure and resume from the last good state.

agent 02

CrewAI

Multi-agent teams with role-based specialization. Think researcher, writer, reviewer, closer.

triggerUsed when the workflow naturally decomposes into roles.

Higher-quality outputs with visible reasoning per role.

agent 03

AutoGen

Microsoft's multi-agent framework for code-writing and problem-solving agents.

triggerUsed for dev tooling and technical research agents.

Agents that iterate, test, and correct their own output.

agent 04

OpenClaw

Open-source agent runtime with a fast-growing skills ecosystem. Our default for file-system and browser-heavy work.

triggerUsed when agents need to operate real applications end-to-end.

Agents that ship in days instead of weeks, operating on your actual files and apps.

We run all four in production. We know where each one breaks.

How we work

A four-stage cadence that compounds every sprint.

Scope one agent

Pick one workflow with measurable value. We write the eval spec before we write code.

Build and evaluate

4 to 8 weeks of engineering. Weekly eval runs against labeled data. You see the accuracy graph before we ship.

Ship and observe

Shadow mode first, then live with a human reviewer, then autonomous. Full tracing with LangSmith / Langfuse / Phoenix.

Expand

Additional agents plug into the same eval and observability stack. Compounds fast.

What good looks like

Representative outcomes from recent programs.

Specific numbers from specific engagements. We can walk through unabridged case studies on the strategy call.

60%

tier-1 ticket resolution

qualified meetings per SDR

-50%

research cycle time

Who we serve

Categories we know well.

Not a list of logos, a list of categories where we already speak the language and know the funnel.

SaaSE-commerceReal estateFintechHealthcareLegalProfessional services

Pricing

Transparent tiers. No hidden setup fees.

Month-to-month. Cancel anytime. All tiers include a dedicated delivery lead.

Single Agent

$8,000+

One workflow, scoped and shipped.

Single-purpose agent, production-ready
Framework selection + architecture
Evaluation harness with labeled data
Observability and tracing
Runbook and handoff

Start with Single Agent

Frequently asked questions

An AI agent perceives inputs, reasons about goals, uses tools, and takes actions on its own. It completes a multi-step task without you running it. A chatbot only responds. RPA only follows scripts. An agent makes decisions based on context.

Keep exploring

Related services

The best outcomes come from stacking programs. Here's what pairs well with this one.

AI Automation

Where RPA stops, AI automation starts.

Open

AI Solutions

Every AI system we ship, we operate.

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OpenClaw Services

OpenClaw, productionized and operated.

Open

Ready when you are

Ready to start ai agents?

A 30-minute call. We map your goal, audit what exists, and come back with a scoped plan, usually within 72 hours.

Book a strategy call