AI Automation Agency
Connect AI workflows to your systems with Mative. Explore custom agents, document processing and knowledge search, with human oversight, automated evals and transparent monitoring.
The stack we build on
Behind every project above
// AI Automation Use Cases
We design, build, and deploy custom agentic solutions tailored for your business operations. From secure semantic search to deep workflow orchestrations, built for enterprise-grade execution.
01 / 05
Automatically qualify and route inbound CRM leads.
Classify inquiries, extract important context, assign ownership, and create the next action in the CRM.
02 / 05
Help agents resolve requests faster with context.
Summarize requests, identify intent, suggest responses, retrieve approved information, and route exceptions to people.
03 / 05
Automated data extraction and validation from documents.
Extract structured information from documents, validate required fields, summarize content, and create records or tasks.
04 / 05
Secure search across siloed operational sources.
Help staff find approved operational information across controlled sources without exposing unrelated data.
05 / 05
Turn raw operational activity into decision-ready insights.
Turn operational data into recurring summaries, exception reports, and decision-ready updates.
Operations & Governance
Deploying enterprise AI is an engineering discipline, not prompt hacking. We enforce strict data boundaries, automated evaluations, human-in-the-loop approvals, and transparent inference economics.
Zero-retention model agreements with OpenAI and Anthropic. Your proprietary data is never used to train foundational models. We enforce strict RBAC, database query sandboxes, and PII masking.
Automated benchmark evaluation suites run against every prompt and agent update. We measure context retrieval recall, faithfulness, latency, and hallucination rates before changes hit production.
Autonomous agents handle research and drafting, while high-impact actions (customer-facing emails, financial adjustments, CRM deletes) require explicit human review and approval in your existing tools.
Full tracing through Langfuse and OpenTelemetry. Every agent step, tool invocation, token count, latency spike, and model error is recorded with actionable alerting before customers notice.
Intelligent model routing sends simple extraction to small, fast models (GPT-4o-mini / Haiku) and reserves reasoning models for complex synthesis. Semantic caching and spend ceilings protect your monthly budget.
When an external AI provider experiences an outage or rate limit, our agent architecture fails over to secondary models or routes the request to human queues without breaking user flows.
Process
Most digital programmes stall between idea and impact. The model below closes that gap.
Phase 01
Identifying high-ROI automation opportunities within your business. We audit your workflows, data silos, and APIs to determine where AI can drive the most impact.
Phase 02
Designing the blueprint for your intelligent systems. From vector databases for RAG to orchestrating multi-agent reasoning loops that can execute complex tasks securely.
Phase 03
Custom prompt engineering, tool integration, and workflow automation. We wire LLMs directly into your APIs, Slack channels, and internal dashboards.
Phase 04
Shipping to production with observability and safety constraints. We ensure your AI agents operate reliably with full logging and graceful fallbacks.
See Tara AI: custom agent architecture, human review gates & document intelligence
Common questions
Answers about Mative’s capabilities, budgets, delivery model and worldwide client partnerships.