Breaks the task.
Breaks a big job into steps and hands each step to the best-suited agent.
We design, build and operate our agents. All of them share the same brand memory, run under one orchestrator, and are measured by one metric.
Experimenting with AI is easy for brands; the hard part is turning it into a system that does real work every day, is measured, and protects the brand's voice. We picked one job: AI that works for brands.
Agents that do the job from start to finish.
Beyond answering: they break the task into steps, finish the work in your systems, and bring anything that crosses a limit to you for approval.
A memory that knows your brand.
Products, pricing policy, brand voice and forbidden phrases live in a single knowledge set. It connects to your CRM, catalog and documents only to the extent permitted.
The right model for the job.
We pick the right model for each task, test new models on a two-week cycle, and put the winner into production. You're never tied to a single provider.
Cost, accuracy and trust.
You hold the permissions, and every step is in the audit log. We measure accuracy and cost regularly and write responsible-use rules into the agents themselves.
Five of our agents are live today. We build the rest together with you, to your brand's needs.
The orchestrator agent takes the job, breaks it into steps, hands each step to the right agent, and merges the result. All agents share the same brand memory; every decision that crosses a limit goes to a human for approval.
Example: a campaign launch, end-to-end.
"Prepare the launch of the new collection." The orchestrator clarifies the goal and metric, and breaks the work into steps.
The visibility agent asks AI models the questions your customers will ask, and reports where your brand and your competitors get mentioned.
The content agent writes dedicated pages and product copy for the questions you're missing, in your brand voice. It comes to you for approval before publishing.
The social-media agent answers messages from Instagram and WhatsApp with the same knowledge, in each channel's voice.
The voice agent answers callers asking about the campaign and books appointments.
The sales agent clarifies the need, starts the quote process and logs every conversation into the CRM.
The orchestrator merges the results into a single report; on the two-week cycle it sees what works and updates the rules.
Breaks a big job into steps and hands each step to the best-suited agent.
All agents speak with the same brand knowledge; when one learns, they all know.
Price quotes, publishing, or any decision that crosses a limit goes to a human for approval.
Connects to your CRM, catalog, calendar and messaging systems through standard interfaces.
AI is renewing very fast. We renew your agents at the same pace.
We define one business goal and the one metric that shows it.
We set up the agent with your data and voice, and take it live in a short sprint.
We see what works with real user data.
We test new models and tools and put the winner into production.
The agent only accesses the information you allow and does only the work you allow.
Who did what, and when. Sample log:
Pricing depends on the agent to be built, the channels and the volume. In the first call we clarify your needs and prepare a quote.
We work in two-week sprints. We take the first version live in a short sprint and improve it with real data.
The agent only speaks from the brand knowledge we prepare with you, and routes anything it doesn't know to your team. We review conversations regularly and update the knowledge set.
A single agent does a single job well. In end-to-end processes like campaigns, sales and support, agents need to work with the same memory, in sequence and with approval points; the orchestrator manages that.
We regularly ask the major AI models the questions your customers will ask, and report how often your brand and your competitors appear in the answers.
You decide what the agent can access. It only uses permitted information, and everything it does lands in the audit log.