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common questions
find your answers here
find answers to common questions about turtle, its features, and how it can help your team.
more questions?
contact us
what exactly does turtle do?
turtle is the platform to manage your agents, optimize ai costs and trust every output. it gives businesses a single control plane for every ai agent across their organization - covering cost management, observability, evaluation, and security.
do we need engineers or ai expertise to use turtle?
no. turtle is delivered through an intuitive interface that makes entire teams ai-native, no code, no ai expertise required. domain experts can drag and drop content - video, audio, text, to convert processes into ai skills, workflows and code directly.
how does turtle help control ai costs?
ai spend is exploding, and most of it is wasted. not all tasks need the same level of ai reasoning. turtle orchestrates across models and selects the right level of intelligence for each step of the process - choosing the right model for the right level of reasoning and software code for deterministic parts of the steps, giving teams full control over what they spend and why.
how do we know our ai agents are accurate and not drifting?
agents break silently. turtle simulates and validates agent behavior before anything touches production, continuously monitors accuracy post-deployment, and intelligently splits workflows between ai and deterministic code based on what actually works. you get full visibility into every decision, every output, every failure - in real time.
how does turtle handle security across agents?
agents are the new attack surface. agent sprawl is creating real security exposure with no unified control layer. turtle provides agentic access management, policy enforcement and guardrails for non-human identity, and ensures no agent operates outside its defined boundaries.
we have existing internal processes. can turtle work with those?
yes. whether it be SOPs or your special processes, they can be automated by our platform. turtle helps domain experts drag and drop content to convert processes into AI skills, workflows and code. we also create a knowledge graph that becomes an ever growing knowledge base for the customer.
we've already piloted ai internally. why are we still stuck?
these aren't edge cases - they're the reason business ai adoption keeps stalling after the pilot stage. every organization building with ai hits the same wall, not the technology itself, but everything around it. there's no clear bridge between domain expertise and ai development. model accuracy is hard to verify, and agent drift is even harder to detect. ai costs are ballooning with limited visibility into what's driving spend. turtle is built to solve exactly this.
who is turtle built for?
turtle is built for businesses deploying ai agents at scale - from smbs to large organizations. it is built specifically for it leaders, compliance teams, and operations teams who need full control over ai costs, accuracy, security, and adoption across the organization.
common questions
find your answers here
find answers to common questions about turtle, its features, and how it can help your team.
more questions?
contact us
what exactly does turtle do?
turtle is the platform to manage your agents, optimize ai costs and trust every output. it gives businesses a single control plane for every ai agent across their organization - covering cost management, observability, evaluation, and security.
do we need engineers or ai expertise to use turtle?
no. turtle is delivered through an intuitive interface that makes entire teams ai-native, no code, no ai expertise required. domain experts can drag and drop content - video, audio, text, to convert processes into ai skills, workflows and code directly.
how does turtle help control ai costs?
ai spend is exploding, and most of it is wasted. not all tasks need the same level of ai reasoning. turtle orchestrates across models and selects the right level of intelligence for each step of the process - choosing the right model for the right level of reasoning and software code for deterministic parts of the steps, giving teams full control over what they spend and why.
how do we know our ai agents are accurate and not drifting?
agents break silently. turtle simulates and validates agent behavior before anything touches production, continuously monitors accuracy post-deployment, and intelligently splits workflows between ai and deterministic code based on what actually works. you get full visibility into every decision, every output, every failure - in real time.
how does turtle handle security across agents?
agents are the new attack surface. agent sprawl is creating real security exposure with no unified control layer. turtle provides agentic access management, policy enforcement and guardrails for non-human identity, and ensures no agent operates outside its defined boundaries.
we have existing internal processes. can turtle work with those?
yes. whether it be SOPs or your special processes, they can be automated by our platform. turtle helps domain experts drag and drop content to convert processes into AI skills, workflows and code. we also create a knowledge graph that becomes an ever growing knowledge base for the customer.
we've already piloted ai internally. why are we still stuck?
these aren't edge cases - they're the reason business ai adoption keeps stalling after the pilot stage. every organization building with ai hits the same wall, not the technology itself, but everything around it. there's no clear bridge between domain expertise and ai development. model accuracy is hard to verify, and agent drift is even harder to detect. ai costs are ballooning with limited visibility into what's driving spend. turtle is built to solve exactly this.
who is turtle built for?
turtle is built for businesses deploying ai agents at scale - from smbs to large organizations. it is built specifically for it leaders, compliance teams, and operations teams who need full control over ai costs, accuracy, security, and adoption across the organization.
common questions
find your answers here
find answers to common questions about turtle, its features, and how it can help your team.
more questions?
contact us
what exactly does turtle do?
turtle is the platform to manage your agents, optimize ai costs and trust every output. it gives businesses a single control plane for every ai agent across their organization - covering cost management, observability, evaluation, and security.
do we need engineers or ai expertise to use turtle?
no. turtle is delivered through an intuitive interface that makes entire teams ai-native, no code, no ai expertise required. domain experts can drag and drop content - video, audio, text, to convert processes into ai skills, workflows and code directly.
how does turtle help control ai costs?
ai spend is exploding, and most of it is wasted. not all tasks need the same level of ai reasoning. turtle orchestrates across models and selects the right level of intelligence for each step of the process - choosing the right model for the right level of reasoning and software code for deterministic parts of the steps, giving teams full control over what they spend and why.
how do we know our ai agents are accurate and not drifting?
agents break silently. turtle simulates and validates agent behavior before anything touches production, continuously monitors accuracy post-deployment, and intelligently splits workflows between ai and deterministic code based on what actually works. you get full visibility into every decision, every output, every failure - in real time.
how does turtle handle security across agents?
agents are the new attack surface. agent sprawl is creating real security exposure with no unified control layer. turtle provides agentic access management, policy enforcement and guardrails for non-human identity, and ensures no agent operates outside its defined boundaries.
we have existing internal processes. can turtle work with those?
yes. whether it be SOPs or your special processes, they can be automated by our platform. turtle helps domain experts drag and drop content to convert processes into AI skills, workflows and code. we also create a knowledge graph that becomes an ever growing knowledge base for the customer.
we've already piloted ai internally. why are we still stuck?
these aren't edge cases - they're the reason business ai adoption keeps stalling after the pilot stage. every organization building with ai hits the same wall, not the technology itself, but everything around it. there's no clear bridge between domain expertise and ai development. model accuracy is hard to verify, and agent drift is even harder to detect. ai costs are ballooning with limited visibility into what's driving spend. turtle is built to solve exactly this.
who is turtle built for?
turtle is built for businesses deploying ai agents at scale - from smbs to large organizations. it is built specifically for it leaders, compliance teams, and operations teams who need full control over ai costs, accuracy, security, and adoption across the organization.
get started with turtle
a single control plane for every AI agent across your organization
manage your agents. control your costs. trust every output.
get started with turtle
a single control plane for every AI agent across your organization
manage your agents. control your costs. trust every output.