We engineer intelligent agents that reason over live data, invoke tool APIs, coordinate multi-step tasks, and integrate seamlessly into your n8n workflows and existing tech stack.
Battle-tested agent blueprints that we customize and deploy for your specific operational context.
Scores inbound leads using GPT-4o reasoning, enriches profiles via Clearbit/Apollo, qualifies based on ICP, and routes to the right sales rep via Slack or HubSpot.
Classifies support tickets by urgency and sentiment, generates AI draft replies, auto-resolves common queries, and escalates complex cases to human agents.
Pulls KPIs from Airtable, BigQuery, or your CRM, runs computations, formats executive-ready reports, and delivers via email or Slack on a schedule.
Intelligently sequences multiple API calls, handles rate limits and retries, transforms data between formats, and coordinates complex multi-system workflows.
Extracts structured data from PDFs, invoices, and contracts using vision AI. Routes extracted data to databases, CRMs, or accounting platforms automatically.
Fully bespoke AI agent architectures tailored to your specific business logic, data sources, compliance requirements, and operational constraints.
Discuss Your Agent →Every Sprintflows agent follows a proven ReAct loop: Reason → Act → Observe → Repeat.
Agent receives context: incoming webhook, scheduled trigger, user query, or data event from your systems.
LLM (GPT-4o / Claude) analyzes context, determines intent, and plans the optimal sequence of tool calls to take.
Agent invokes tool APIs — CRMs, databases, email, Slack, custom webhooks — and executes the action plan.
Agent observes results, self-corrects on failure, logs outcomes, and escalates when human review is needed.
Book a free 30-minute architecture call. We'll map out exactly which agent type fits your workflow, what tools it needs, and how to deploy it within 2 weeks.