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Talk to an ExpertWe optimize for successful outcomes - empowering your teams to leverage AI to automate processes and provide context for decision support systems. There’s no one-size-fits-all formula here, but a common deployment involves: (a) initial scoping of the business process - its value, associated workflows, dependencies, and connected downstream processes; (b) identify the relevant action block(s) and work packages(s) required to meet the operational outcome; (c) map and measure the required accuracy and reliability thresholds, as well as desired KPI targets required; and finally, after deploying in live client test environments, (d) diligently track and monitor performance over time, and continue to look for more ways to improve or further automate the process. Get in touch with our team to scope and enable the right AI Agent for you.
Given the variability in both type and scope of agents, as well as with data readiness, the time to deploy an agent can vary greatly. Assuming your existing data architecture is strong and robust to support these AI initiatives, the time it takes to deploy an agent is typically weeks. Refinement and improvement thereafter is often an ongoing task. Read about how to enable an AI Agent and our typical process in the question above.
The number of potential agents is literally endless, so we hope that you’ll arrive at this point sooner than you’d expect. We aim to help you get up and running as fast as possible with the large and growing list of agents that we can deploy together today, as well as support you in creating new and exciting agents in the future. Agent STUDIO empowers you with the flexibility to deploy or build those custom solutions together with Cherre.
None. Cherre is here to support you from initial ideation - even from a blank slate starting point - and all the way to massive orchestrations chained agents. The only thing we need from you to succeed is a clear understanding of the business values and objectives - something you surely already have. The Cherre team will work with you from whatever state you’re currently in and help you deliver lasting results. If you’ve yet to connect and model your financial and operational data in a manner that supports these initiatives, the Cherre platform can provide all that and more. We work with the largest consulting firms in the world to deploy advanced data solutions for our clients, and they are all naturally integrated into the Agent STUDIO platform.
Not at all. One of the biggest advantages of today’s AI environment is the speed and flexibility it gives organizations of every size. If you don’t see the work package you need in our current agent library, you can easily build a custom agent in Agent STUDIO. Cherre’s pricing model is designed to scale with your organization’s size and needs, so you only pay for what you use. Learn more in the next question.
Cherre’s pricing model is a combination of a base price, as well as an additional cost per agent or workflow run. Agents vary greatly by function and complexity, and as such, so does their cost. Most steady agents and workflows are in the $-$$ range ($1-99) per/run, but complex agents - especially ones that require a human in the loop (HITL) could potentially grow to $$$-$$$$. We have observed that the cost of the agents and workflows is almost always commensurate with the complexity and cost of the existing business process, such that agentic flows are usually attractive as they save cost and improve the quality of the business outcome (especially in the long-run).
Most AI agent initiatives fail because they’re deployed on messy, disconnected data that doesn’t reconcile or speak the same language. Agents can’t interpret unclear instructions or bridge fragmented systems, so they struggle to deliver any real value. In fact, over 80% of AI projects never make it into full production, largely due to poor data quality and lack of integration. Cherre was ahead of its time in solving this challenge. Our platform connects, validates, and resolves data across all sources into a single, trusted foundation mapped to our proprietary universal and semantic data models, as well as our knowledge graph. By removing data friction from the start, agents within Cherre operate with clear, consistent, and contextualized inputs - giving them the best possible conditions to succeed and drive measurable business outcomes. That being said, we don’t want you to have to choose. In the future, and as orchestration platforms continue to improve and proliferate, Cherre will also provide the ecosystem with access to those underlying Cherre agents and tools, such that clients and partners can leverage all of Cherre’s advantages in the platform(s) of your choice.
From automating property submissions to reconciling complex financial data, Cherre AI Agents are already powering the next generation of connected real estate operations. Explore real-world use cases, testing options, and answers to all your questions.
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