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Autonomous agents on OpenClaw, our multi-model orchestration layer. Claude, GPT, Gemini or local models. Auditable governance from day one.
40%
Apps with agents 2026
91%
SMBs with positive ROI
4.5×
Avg ROI (KPMG)
4 weeks
To first agent
Simple rule: if you can draw it on a napkin, it's automation. If the path depends on context, it's an agent.
| Característica | Fixed flow AI Automations | Decides the path AI Agents |
|---|---|---|
Problem type | Clear rules | Open-ended goal |
Execution path | Predefined | Decided by the agent |
Typical cases | FAQ chatbot · OCR invoices · lead scoring | Prospecting · E2E resolution · research · reconciliation |
Time to production | 2-8 weeks | 4-12 weeks |
Typical investment | $3-27K | $11-65K |
Combinable Most real-world projects combine both approaches |
Looking for deterministic workflows? See /en/services/ai-automation.
Proven architectures on OpenClaw. We adapt them to your domain.
Prospecting, outreach and booking
Identifies leads, drafts personalized outreach, qualifies replies, books meetings and updates the CRM — no human touch except for edge cases.
End-to-end ticket resolution
Receives a ticket, diagnoses the cause, consults internal knowledge bases, runs the required action (or escalates with context) and closes the case. Real tools, not just text.
Reconciliation and assisted close
Reconciles bank movements against invoices, spots anomalies, drafts journal entries and prepares monthly close in a conversational assistant.
Due diligence and competitive analysis
Research on demand: market, competition, due diligence, regulatory reports. Delivers a structured report with verifiable citations.
24/7 first line
Resolves 80% of inquiries with RAG over your knowledge base, escalates the remaining 20% with context. Learns from human corrections.
Orchestrator + sub-agents
We design a crew of specialized agents for your domain, coordinated by an orchestrator. Each one in its lane, shared state.
Our multi-model orchestration layer. Claude, GPT, Gemini or local models — swappable. Native multi-channel. Auditable governance-as-code.
Running in production
OpenClaw runs 24/7 as a personal productivity bot on Telegram, deployed on AWS Lightsail. Same stack we deploy for client projects.
Default model
Claude Haiku
Channel
Telegram
Infra
AWS Lightsail
Uptime
24/7
Free diagnostic first. Fixed scope and quote before we start.
First agent · 4-6 weeks
$11-22K
One-off project
One agent on one channel with 3-5 tools and basic governance. Fast value proof.
Complete system · 8-12 weeks
$22-65K
Project + operation
Multi-agent system with persistent memory, multi-channel, full observability and auditable governance.
Monthly operation from $2.2K/mo · VAT not included
A chatbot answers within a predefined flow: if the input fits, fine; otherwise it escalates or stalls. An AI agent receives an objective, decides which steps to take, invokes tools (CRM, DB, APIs, email, calendar), evaluates the result and continues until the objective is met. The agent operates as an autonomous digital employee, not as a conversational form.
Simple rule: if you can draw the flow on a napkin, it's automation (see /en/services/ai-automation). If the path depends on context and the agent has to decide on the fly (prospecting, end-to-end resolution, research, anomaly handling), it's an agent. Many projects combine both — we confirm in the diagnostic.
OpenClaw is our multi-model orchestration layer for shipping AI agents to production. It lets you swap models (Claude, GPT, Gemini, local) by task, works across multiple channels (Telegram, WhatsApp, Slack, web, API) and ships auditable governance-as-code. Practical upside: no lock-in to a single LLM provider, compliance from day one.
Three layers. Guardrails: typed I/O validation, content filters, spending limits. Policies-as-code: what each agent can invoke, when it requires human approval, which tools are forbidden. Observability: full tracing of decisions and tokens, post-hoc audit, alerts if an agent steps out of its expected profile.
Pilot ($11-22K): one agent on one channel with 3-5 tools, delivered in 4-6 weeks, includes basic governance. Production ($22-65K): multi-agent system with persistent memory, multi-channel, full observability, delivered in 8-12 weeks. Monthly operation from $2.2K/mo. Free diagnostic tightens the figure for your case.
Claude (Opus, Sonnet, Haiku) from Anthropic, GPT-5 from OpenAI, Gemini from Google, and local models (Llama, Qwen, Mistral) for on-premise or strict compliance. OpenClaw routes by task, cost and latency. Compatible with Claude Managed Agents (April 2026) and OpenAI Agents SDK.
Yes. OpenClaw supports on-premise deployment with local models (Llama, Qwen, Mistral) for sectors with strict compliance (healthcare, defense, finance). Same agents, same code, data never leaves your network. Integrates with corporate SSO/LDAP.
2026 benchmarks (KPMG, McKinsey, US Chamber of Commerce): 91% of SMBs with AI agents report positive ROI; average 4.5× ROI in high-performance cases; $3.50 return per $1 invested in support agents; 45% reduction in admin time. We define measurable KPIs before we start and verify at 3 months.
60-minute free diagnostic: we size your case, pick pattern, estimate investment and KPIs. If an agent isn’t the right fit, we’ll tell you.