Frequently Asked Questions

We work with mid-market to enterprise organizations ($100M–$10B+ revenue) across financial services, healthcare, insurance, and professional services. Minimum engagement size is $15,000. We focus on organizations with complex operational requirements and governance needs where AI agents can create meaningful business impact.

We work alongside your existing teams. AgentLayer provides architecture, governance frameworks, and strategic oversight. Your engineers and data scientists implement and operate the systems. We're the architects and guides. Your team owns the build and operations. This collaborative model ensures knowledge transfer and sustainable outcomes.

Diagnostic sprints run 2–4 weeks. Architecture & Build engagements run 8–16 weeks. Advisory retainers are ongoing (minimum 3 months). We scope every engagement clearly upfront with no scope creep. You'll know exactly what to expect and when.

Based in Dallas-Fort Worth. We work fully remotely with clients nationwide and engage on-site for workshops, executive presentations, and implementation milestones when needed. Most of our work is conducted via Zoom, Slack, and collaborative documents.

We're platform-agnostic. We design architectures around your existing stack. Common platforms include OpenAI, Anthropic, Azure AI, AWS Bedrock, LangChain, and custom implementations. Our focus is on architecture, governance, and outcomes — not vendor lock-in.

Internal AI teams build. We architect. We provide the strategic framework, governance structure, and production blueprint your team executes against. Many clients hire us specifically because their internal teams are heads-down building and need someone thinking about the system as a whole — governance, risk, scalability, compliance.

Traditional AI/ML produces outputs. AI agents take actions. They plan, use tools, make decisions, and execute multi-step workflows autonomously. The architecture, governance, and operational requirements are fundamentally different. Agents create new risk categories and require different thinking around reliability, audit trails, and human oversight.

Through architecture, not hope. We design validation layers, human checkpoints, confidence thresholds, and fallback flows into every system. Governance-first means reliability is built in. No agent takes action without multiple layers of verification appropriate to the risk level.

Governance is not a checkbox — it's an architecture decision. Every engagement includes audit trails, human-in-the-loop controls, role-based access, incident response protocols, and compliance mapping to relevant regulations. Ungoverned AI is a liability. We build controls from day one.

Yes. We build compliance requirements directly into agent architecture — not as an afterthought. We map every agent's risk classification, required documentation, and human oversight requirements to EU AI Act and GDPR standards. This applies equally to organizations operating in or serving European markets.

Financial services, healthcare, insurance, and professional services — all highly regulated environments where governance and compliance are non-negotiable. Our experience in regulated industries means we understand risk frameworks, audit requirements, and stakeholder concerns that other consultants miss.

Diagnostic sprints start at $15,000. Architecture & Build engagements start at $45,000. Advisory retainers start at $8,000/month. Every engagement is fixed-scope with clear deliverables. No surprises. Investment depends on scope, complexity, and engagement duration. We'll provide transparent pricing during scoping.

Outcomes vary by use case. Common results include 30–65% process efficiency gains, 60–90 day time-to-production timelines, and operational savings in the hundreds of thousands to millions annually. We identify specific ROI potential during the diagnostic. We're honest about what's achievable for your situation.

We guarantee delivery of our defined scope. We're honest about what AI agents can and can't do, and we scope engagements around achievable, measurable outcomes — not hype. Our reputation is built on under-promising and over-delivering, not on guaranteeing outcomes that depend on factors outside our control.