Deploy enterprise AI agents with control and clarity

Cresta gives you a structured, repeatable path from strategy to production, with the ownership model, tooling, and controls your enterprise needs to deploy AI agents with confidence.

Choose your operating model

Cresta supports a flexible range of deployment approaches on the same enterprise foundation. The platform, controls, and security don't change. What changes is how Cresta and your team share ownership, and that can evolve as your needs do.

Cresta-managed

Cresta leads deployment from strategy through optimization, owning delivery, coordination, and outcomes. Your team stays in the loop without carrying the execution. Best for enterprises that want a fast path to production and clear accountability for results.

Customer-managed

Your team configures, tests, and deploys AI agents using Cresta’s tooling, workflows, and guidance. You get full control without having to build or maintain the underlying infrastructure. Best for teams that want to own every aspect of their deployment directly.

A structured path from strategy to production

Cresta deployments follow a repeatable approach that helps teams move from planning to production with the right controls in place. Cresta partners with your team at every stage, with the same rigor and safeguards regardless of how hands-on you want to be.

Start with a data-backed automation blueprint

• Analyze real customer conversations across channels to understand how they unfold from start to resolution.
• Score automation readiness based on volume, complexity, and resolution rates.
• Produce a prioritized roadmap aligned to business impact and operational feasibility.

Build AI agents as structured, governed systems

• Design task-specific subAgents with defined roles, prompts, tools, and objectives to handle complex workflows reliably.
• Connect securely to backend systems with controlled actions, scoped permissions, and standardized access protocols.
• Encode guardrails, escalation paths, and compliance boundaries directly in agent behavior.

Test the way customers actually use your AI agents

• Simulate real customer behavior at scale to surface edge cases early and strengthen reliability.
• Apply reusable AI-driven evaluators to assess responses against defined quality, policy, and success criteria.
• Run structured regression tests and enforce release thresholds before shipping updates.

Ship changes safely with structured releases

• Promote updates through structured release workflows with defined approvals, versioning, and rollback paths.
• Control how changes reach production, from limited rollout to broader activation.
• Maintain complete audit history and traceability across prompt changes, tool updates, and agent releases.

Optimize performance with outcome-based insights

• Prioritize improvements based on measurable business outcomes like resolution, CSAT, sentiment, and conversion.
• Uncover what’s driving performance changes using AI-powered natural language queries and conversation analysis.
• Automatically evaluate 100% of interactions against defined standards to maintain quality while iterating and expanding automation.

A dedicated team, aligned to outcomes

Cresta-managed deployments include a dedicated cross-functional team from day one. They work alongside your stakeholders through every stage, from use case definition to post-launch optimization.

Forward-deployed product manager

Connects business goals to AI Agent execution by partnering with stakeholders to define high-impact use cases, set success metrics, and guide rollout decisions.

Forward-deployed engineer

Owns technical performance in production, tuning models, resolving edge cases, and improving agent reliability over time.

Implementation program manager

Manages governance, milestones, and risk across your business, IT, and operations teams from kickoff through launch.

Solutions architect

Designs how Cresta AI Agent connects to your enterprise systems, validating integrations, data flows, and architectural decisions end to end.

Customer success manager

Partners with your team after launch to track outcomes, identify new opportunities, and support long-term value.

The deployment experience, from our customers

Customer Testimonials

• Christopher Prelog, President: "It’s not a vendor-customer relationship. This is a partnership."
• Brad Sherk, Vice President of Operations and Shared Services: "Cresta brought a level of partnership and responsiveness we hadn’t seen elsewhere. It wasn’t just a software contract. It felt like a shared mission. They, like us, want to empower our customer service agents and put humans at the centre of AI power."
• Adam Christensen, Senior Director of Resource Management: "Cresta’s expectations were realistic and frankly they over-delivered in everything. Consequently, the ease of implementation, the professionalism of the staff from the sales staff to the technical staff to everyone involved with Cresta is impressive."
• William Niles, Chief Executive Officer: "The launch of the AI Agent was a huge success. Scale of 1 to 10, I’d give it a 12."
• Andre Heltzel, Chief Commercial Officer: "We saw Cresta not just as a tool, but as a partner in our AI transformation, helping us introduce automation where it makes sense and empowering our agents at the same time."

FAQ

Who owns what in a customer-managed deployment?

How do you manage risk in production?

How much effort is required from my internal teams?

Can we change operating models over time?

When does it make sense to buy rather than build AI agents?

Find the right operating model for your team

Talk to a Cresta expert about your environment, your goals, and which operating model fits where you are today.