Agentic AI Solutions
Generative AI adoption reached 72% of organizations globally in 2025, yet 80% report that adoption has not yet produced measurable EBIT impact at the enterprise level. Only 23% of companies have scaled an agentic system beyond a single function. The gap between pilot and production is the core problem we address.
We design agentic architectures on open frameworks (LangGraph, CrewAI, AutoGen), enterprise platforms (Microsoft Copilot Studio, Salesforce Agentforce, Google Vertex AI Agents) and proprietary builds, depending on the use case and existing client infrastructure.
Problems We Solve
AI pilots that don't scale to production
Implementations proven in one function that fail to integrate end-to-end. High-performing companies redesign workflows 2.8× more often than peers.
Agents that don't integrate with core systems
ERP, CRM, banking platforms or manufacturing systems without robust connectors to language models and orchestrators. We build the missing integration layer.
Customer service processes with high unit cost
Repetitive tickets, poorly segmented escalations. Digital banking cases show 40–50% reductions in fraud losses when agents complement human judgment.
Manual document analysis and KYC onboarding
Identity verification, policy data capture, contracts, credit files, and invoices. Agents with multimodal capability extract, validate, and route structured and unstructured information.
Distributed operational decisions without traceability
Approval decisions, resource allocation, or case prioritization that occur in silos. Agents log every step, the criteria used, and the human validation checkpoints required by internal audit and regulators.
Absent governance over autonomous agents
65% of organizations cite security and risk as the principal barrier to scaling agentic AI (McKinsey, State of AI Trust 2026). We define policies, access controls, critical validation agents, and human intervention mechanisms.
Inference costs that grow without unit economics control
Oversized models for simple tasks. We design cascade architectures (smaller model first, larger model only when needed) with cost-per-transaction metrics.
Why Hire Baker Agentics
Prior experience in Mexican Fortune 500: Heineken, Exxon Mobil, Harley-Davidson, FEMSA, Michelin and OXXO.
Fees 40–60% below global tier-1 firms with equivalent methodology.
Agent governance framework included in every implementation with auditable logs.
Model-vendor independence: multi-model (Anthropic, OpenAI, Google, open-source).
Milestone-based delivery with pre-agreed business metrics. Fees released against verifiable results.
Documented knowledge transfer: technical docs, runbooks and training for the internal team.