01
Customer support and assisted reply generation
AI connected to the work — not placed beside it.
nmobuildsAIagents,MCPintegrations,knowledgesystems,andintelligentworkflowsthatcanreadcontext,usebusinesstools,andperformcontrolledactionsinsiderealoperationalprocesses.
Systems that think , Workflows
The value of AI comes from what it can reliably do inside the business. We design automation around specific jobs: support, internal knowledge, research, document processing, sales follow-up, reporting, operational routing, and structured task execution.
0
Hallucinated calls
80+
Tasks executed
Agent Network
3 sources · 2 outputs
Active
Slack
PostgreSQL
Notion
MCPGateway
AI Agent
Auto-Reply
1.2s
Avg response
99.1%
Accuracy
847
Runs today
How We Work
Identify
Find high-friction or repetitive workflows where AI can create measurable operational value.
Define
Specify the agent’s job, data boundaries, tools, approval rules, and expected outputs.
Integrate
Connect the agent to approved systems and information sources through secure interfaces.
Evaluate
Test accuracy, failure modes, edge cases, cost, latency, and escalation behavior.
Deploy
Release into a monitored environment with logging and defined human control points.
Improve
Refine prompts, tools, context, evaluations, and workflows based on real usage.
Use Cases
Practical AI applications designed to sit inside real business workflows — not demo environments.
02
Sales qualification and follow-up
03
Internal knowledge assistants
04
Research and information synthesis
05
Document extraction and structured processing
06
Operations routing and task automation
07
Management reporting and data querying
08
AI-enabled workflows inside ERP, CRM, and custom platforms
Production-Grade AI & MCP Systems
Deploy autonomous AI agents that perform multi-step reasoning, integrate directly into your tools, and execute workflows safely.
Autonomous Agent Runtimes
Multi-step reasoning agents capable of planning, executing complex task graphs, and handling edge-cases with fallback paths.
LangChainLlamaIndexAutonomous LoopsTool Calling
MCP Integration Servers
Model Context Protocol (MCP) integrations connecting AI agents securely to your private databases, internal APIs, and toolstacks.
MCP ProtocolContext RetrievalSecure HandshakeJSON-RPC
Domain-Specific AI Workflows
Agents engineered for specific business tasks including automated customer support drafting, contract synthesis, and research aggregation.
RAG SystemsVector DBsPrompt EngineeringFine-Tuning
Structured Data Extraction
Transform messy unstructured documents, emails, and PDFs into verified, schema-compliant structured data automatically.
Pydantic ValidationSchema EnforcementOCR Pipelines
Model Orchestration & Fallbacks
Multi-model gateways routing queries dynamically based on latency, cost, or quality constraints with instant provider failover.
OpenAI / AnthropicLocal LLMsCost OptimizationTracing
Safety Guardrails & Monitoring
Real-time evaluation pipelines, output validation, and security sandboxes preventing hallucinations and malicious execution.
Guardrails AIHallucination ChecksLatent TracingHuman-in-the-Loop
INTELLIGENT AUTOMATION
Where is your team still doing work a system should handle?
We can identify the highest-leverage workflow, define the right AI architecture, and build it into your existing operation.