Off-the-shelf bots often sit beside processes, not inside them, creating new silos and governance questions. Custom AI integration aligns with your architecture and policies:

• Process fit: Models map to your exact workflow, fields and controls.
• Security & compliance: Identity, roles, audit trails and data residency follow corporate standards.
• Latency & scale: Runs where the data lives (event bus, data lake, ERP extension layer) for predictable performance.
• Total cost: Targeted automation of the 20 % of steps that drive 80 % of delay, instead of paying for generic features you won’t use.

If you don’t plan to build, test, or tune AI agents in-house, you will turn to your integration partner to deliver this end-to-end. Your team focuses on priorities, governance, and approvals; the partner handles discovery, design, integration, and ongoing improvement.

Blocshop focuses on embedding AI agents into existing ERP, CRM, HR, and data platforms to raise throughput and decision quality without disruption.

We start with value discovery: mapping process bottlenecks, quantifying ROI, and proposing the first three automations with named owners, baselines, and expected impact. Then, we design domain-aware agents aligned to your schemas, business rules, and controls, specifying inputs, outputs, thresholds, human-in-the-loop steps, and escalation paths.

For delivery, Blocshop connects the agents to your APIs, queues, event streams, and data lakes under enterprise identity and access policies, with auditability, observability, and least-privilege enforced; data movement is kept minimal, and in-place inference with field-level logging is preferred.

In operation, we help you set dashboards, track precision/recall, exception rate, net processing time, cost per run, and adoption. We fine-tune against live outcomes under controlled change windows and, once targets are met, we help you extend automation to adjacent processes with the same governance model.