How a D2C Brand Automated ERP-Linked Service Requests — and Unlocked Team Capacity in the First Week
Technology service requests handled manually. SLA misses. Approvals lost in inboxes. Orchestrik deployed as a governed agent layer — live in 40 hours. All data stayed within customer premises.
The customer
A D2C business with ongoing operational needs across technology support (service requests and incidents), technology maintenance, and cloud infrastructure maintenance. Before the pilot, a meaningful portion of support demand was repetitive, structured, and dependent on well-understood workflows. The customer already had some defined automations in place, but these were not enough to handle the growing need for faster response, lower cost, and better operational leverage.
The problem
Support and operations teams were spending valuable time on recurring requests that were not strategically complex but still required controlled execution, familiarity with business rules, and confidence that changes would be made correctly:
- Creating new accounts with required permissions
- Updating and adding products
- Managing product categories
- Changing pricing
- Updating capacity
The result was predictable: skilled manpower tied up in repetitive work, response times constrained by team bandwidth, SLA performance harder to improve at scale, and less capacity for higher-value work.
What we did
We did not approach this as a generic chatbot project. First, we studied the customer's processes, business context, request patterns, and existing technology landscape — including the automations they already had, the controls they required, and the quality checks that matter in their environment. Then we implemented Orchestrik in five steps.
Built on top of what already existed
The customer already had well-defined automations. Instead of replacing those systems, we deployed an agentic client layer inside the customer's environment that enabled new agent-driven capabilities, leveraged their existing automations wherever possible, and connected controlled agent execution to real operational workflows. This reduced change friction and allowed the pilot to move faster.
Enabled a focused ERP-linked operating scope
We started with a focused part of their workflow rather than trying to automate everything at once. That scope included service requests tied to a small but important part of their ERP-linked operations: account setup, product changes, category management, pricing updates, and capacity-related changes. This gave the customer a controlled way to test agent-led execution on real, live work.
Added a security layer around the agent
The agent is not operating as an unconstrained actor. A security layer was created so the agent cannot be misused or act outside its intended scope. It works within defined operational boundaries, using only the paths and permissions intended for that scope of work — enforced at the infrastructure layer, not in prompts.
Added auditability at two levels
An audit layer was implemented so the customer has direct visibility into agent activity inside their own boundary. This mattered for two reasons: it gave the customer real-time visibility into what the agent did, and it supported their internal compliance and governance requirements. This exists in addition to the audit trail maintained at the Orchestrik control plane level.
Grounded the agent in business context
The agent was not only connected to systems. It was grounded in business context, request types, expected quality checks, and control checks. That grounding was critical. Without it, automation can become fast but unsafe. With it, the agent operates in a way that is aligned to how the business already works — not just technically correct, but operationally appropriate.
Why this approach worked
First, the work chosen for automation was repetitive, rules-driven, and already operationally understood. The agent did not need to invent new judgment — it needed to execute existing judgment reliably.
Second, we did not force a rip-and-replace model. The agentic layer extended the customer's current environment and leveraged the automations they already had. Lower change risk, faster deployment.
Third, governance was part of the implementation from day one, not an afterthought. Security controls, audit visibility, and operational boundaries were built into the deployment before the first request was handled.
Pilot results — week one
Even at this early stage, one operational impact is already visible: team capacity has opened up. Work that previously consumed internal bandwidth can now be handled through the governed agent layer, allowing the existing team to shift attention to areas that need deeper judgment, broader ownership, or further improvement.
Note:Cost and SLA figures are customer-tracked expected outcomes based on the current pilot trajectory, not final long-term realised results. The pilot began one week ago and is running on a focused part of the customer's workflow.
The takeaway
This case study is not about replacing teams. It is about removing repetitive workload from teams that are too valuable to spend their time on low-leverage operations.
By combining an agentic client layer, existing automation assets, security controls, audit visibility, and business-context grounding, Orchestrik enabled this D2C customer to begin automating a real part of operations in a controlled and production-relevant way. The pilot is still early, but the direction is already clear: lower cost, faster service, and more available team capacity for what matters next.
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