Turn one valuable workflow into a governed production AI system.
IFDS connects the business outcome, architecture, data, integrations, evaluation, security and operational readiness required to move beyond a demonstration.
Bring a defined workflow, owner and outcome. If the investment decision or scope is still unclear, the Opportunity & ROI Sprint is the safer first step.
Discuss your AI opportunity Compare IFDS engagement pathsA production system with an understood operating boundary.
The solution may use agents, workflow automation, enterprise knowledge and retrieval, AI-enabled software, data science or machine learning. The architecture follows the problem and evidence. IFDS does not force a generative-AI pattern where a simpler intervention is more credible.
The work moves through explicit quality gates.
The depth is proportional to risk and scope; the controls do not disappear because a prototype looks convincing.
Define before building
Confirm the outcome, baseline, scope, architecture, acceptance measures and material unknowns.
Connect to real work
Implement the smallest credible system boundary and its governed data and enterprise integrations.
Test the material risks
Evaluate quality, failure behavior, human oversight, privacy, security and governance evidence.
Release with ownership
Prepare deployment, monitoring, documentation, rollback and customer acceptance evidence.
Production delivery is not a promise of autonomous operation.
Current engagement boundary
Scope, acceptance, support, access and operating responsibilities are defined for the specific system. Managed AI / AgentOps is not presented as a current standalone offer, and no service level or ongoing support promise exists without separate approval.
Keep the system aligned as its environment changes.
AI Assurance & Opportunity adds recurring external intelligence, customer-specific relevance analysis and an owned action register.
Build for acceptance and operation, not only for a successful demo.
The production path is separately scoped and approved. Every engagement defines ownership, evidence and change boundaries. After launch, AI Assurance can maintain the external-change and action loop.