Brand team making an AI employee feel like part of the company
Give the agent a name, personality, and communication style that matches your brand. Customers interact with your persona, not a generic AI.
Persona and AI Model
Adjust your employee's personality and swap AI models mid-conversation to match the task.
Every employee has a persona that controls tone, style, formality, and communication preferences. A support agent can be warm and patient. A data analyst can be precise and concise. A creative director can be bold and opinionated. You shape the personality by describing it in plain language, and the employee adopts it across every interaction.
AI model switching gives you cost and performance control per employee. Assign a fast, affordable model for routine tasks like email triage and status updates. Switch to a more capable model for complex research, strategic planning, or nuanced writing. Change models at any time through chat without restarting the conversation or losing context.
Persona and model changes take effect immediately. Tell your employee "be more concise in your reports" and the next report reflects that. Say "switch to the fast model for this batch of emails" and it does. Configuration is continuous, not one-time.
Give Every AI Employee a Distinct Identity and Communication Style
An AI workforce made up of identical agents with the same tone and personality creates a jarring experience for anyone interacting with them. Sistava persona configuration lets you give each AI employee a name, a communication style, a level of formality, and a distinct voice that matches their role and your brand.
Your external-facing Customer Success agent might be warm, empathetic, and conversational. Your internal Data Analyst agent might be precise, concise, and technical. Your Executive Assistant might be formal and structured. These are not just cosmetic differences, they shape how each agent frames responses and engages with the people it works with.
Swap the Underlying AI Model Per Employee
Not every task requires the same model. Sistava lets you assign a specific AI model to each employee, choosing from leading models including GPT-4o, Claude, Gemini, and others. You can match the model to the work: a complex reasoning task benefits from a frontier model, while a high-volume summarization task might run better on a faster and cheaper model.
This per-agent model switching gives you cost and performance control across your AI workforce. You are not locked into a single model for every agent on every task. A 20-agent workforce with models matched to each role and task type performs better and costs less than one where every agent runs the same default.
Model changes take effect immediately. If a new model releases and you want a specific agent to use it, update the setting and the next interaction uses the new model. No redeployment, no reconfiguration of skills or duties.
Persona Consistency Across Every Interaction
Once configured, the persona stays consistent regardless of who is talking to the agent or what the conversation covers. Whether it is a customer asking a routine question or a manager giving a complex project brief, the agent communicates with the same voice, tone, and style every time.
This consistency is what makes AI employees feel professional rather than erratic. It is also what makes them trustworthy in customer-facing roles. An agent with a stable, predictable persona can represent your brand with the same reliability as a trained human employee.
Use Cases
Enterprise team selecting a more capable model for complex tasks
Upgrade the AI model powering the agent when the role demands it. Match capability to use case.
Product team building distinct agents for different user segments
Different personas for different audiences. Each AI agent feels right for its context without sharing a common voice.
Ops team balancing cost and performance across a team of agents
Assign lighter models to high-volume routine tasks and stronger models where reasoning matters. Control spend without sacrificing quality.
Comparison
| Before | After |
|---|---|
| All AI agents feel the same, cold, generic, and off-brand. | Each AI employee has a distinct persona that reflects your brand identity. |
| You're locked into one model regardless of the task. | Choose the right AI model for each agent based on complexity and cost. |
| Customers know they're talking to a generic tool. | A well-defined persona makes the interaction feel natural and intentional. |
| Overpowered models on simple tasks waste budget. | Match model to task and optimize cost across your entire workforce. |
FAQ
Can I change the AI model for one employee without affecting others?
Yes. Model selection is per AI employee, not global. Changing the model for one agent has no effect on any other agent in your workforce.
Which AI models are available for agent configuration?
Sistava supports major frontier models including OpenAI GPT-4o, Anthropic Claude, and Google Gemini. The available model list is updated as new models become available. Check the employee configuration panel for the current list.
Does changing the persona affect the agent skills or duties?
No. Persona controls how the agent communicates. Skills control what it can do. Duties control how it must behave. These three layers are independent, you can change any one of them without affecting the others.
Can I test how a persona sounds before deploying it to users?
Yes. You can chat with any AI employee directly from the configuration interface before setting them live. This lets you verify tone, style, and behavior before the agent interacts with customers or teammates.
Can I choose which AI model powers my employee and give it a specific personality?
Yes. You can set a custom name, personality, and communication style for each AI employee, and switch the underlying model from options like GPT-4o or Claude. Different employees can run on different models.
Our client-facing agent has a completely different tone than our internal research agent. Same platform, different personas, different models. It is exactly how a real team works.