Agentic AI & Autonomous Workflows
AI agents that don't just answer questions - they research, decide, and act across your systems, with a human in the loop only where you want one.
Agents That Do the Work, Not Just the Talking
A chatbot answers a question and stops. An agent takes a goal and finishes the job: it plans the steps, uses your tools, checks its own work, and reports back. We design and deploy agentic systems matched to your workflows - from a single research agent to a coordinated team of specialists working in parallel - grounded in your data and constrained by rules you control.
- Task-specific agents that browse, extract, write, and submit on your behalf across web apps and APIs
- Tool-using agents wired into your CRM, spreadsheets, databases, and internal systems
- Supervisor/worker architectures where a coordinator plans and delegates to specialist agents
- Self-correcting pipelines where agents review and refine their own outputs before anything ships
- AI phone agents that handle inbound and outbound calls, book appointments, and qualify leads
- RAG knowledge bases built on your documents, emails, and wikis for grounded, factual answers
- Confidence-based escalation, so agents hand off to a human exactly when they should
- Full observability: every agent step logged, traceable, and reviewable by your team
What Our Agents Can Do
Four building blocks we combine into autonomous systems shaped around your business.
Single-Agent Systems
- Browsing & Extraction
- CRM & API Tool Use
- Document Reading & Routing
- Research & Intelligence Reports
Multi-Agent Orchestration
- Supervisor/Worker Delegation
- Parallel Pipelines
- Shared Memory & Handoff
- Self-Correcting Review Loops
Voice AI Agents
- Inbound & Outbound Calls
- Appointment Booking
- Lead Qualification
- GHL Voice Integration
Retrieval-Augmented Generation
- Company Knowledge Bases
- Semantic & Hybrid Search
- Grounded Agent Responses
- Pinecone
- Qdrant
- pgvector
Agents in Action: Real Business Results
- A lead research agent that takes a company name, finds contacts, enriches them with Apollo, and drafts a personalized outreach email - fully autonomously.
- A customer support agent that reads a ticket, searches the knowledge base, drafts a response, and escalates only when its confidence is low.
- A competitive intelligence agent that monitors competitor websites weekly and delivers a structured change report every Monday morning.
We pick the framework that fits the job - code-first graphs for complex routing, visual builders for fast iteration - and every agent ships with logging, guardrails, and a human escape hatch.
Agentic Frameworks & Tools
The frameworks we build with, from code-first orchestration to no-code builders. Vector stores: Pinecone, Qdrant, Weaviate, Chroma, Milvus, pgvector.
| Platform | Type | Best used for |
|---|---|---|
| CrewAI | Code-first | Multi-agent role-based orchestration |
| Microsoft AutoGen | Code-first | Conversational multi-agent pipelines |
| LangGraph | Code-first | Stateful agent graphs with complex routing |
| OpenAI Agents SDK | Code-first | Tool-use and handoff between OpenAI-based agents |
| LangChain | Code-first | Agent tooling, chains, memory, retrieval |
| LlamaIndex | Code-first | Data indexing, RAG, document agents |
| Flowise | Low-code visual | Visual agent builder for fast prototyping |
| Dify | Low-code visual | Agent and LLM app platform with workflow UI |
| Botpress | Conversational | Conversational AI for support and sales |
| Vapi | Voice | Voice AI agents for phone automation |
| Relevance AI | No-code | No-code agent builder for business automation |
| n8n AI Agents | Workflow-embedded | Agents inside automation workflows, self-hosted |
Tell Us What Slows You Down
Describe the process eating your team's hours and we'll reply within 24 hours with an honest take on whether automation can fix it, roughly what it would involve, and what it could save you.
