AI Agents
Specialized AI agents for real business roles.
Each agent is trained around a real job and a measurable outcome. Start with Bob for catalog revenue, or train a Custom Agent on the work only your team knows.
Bob
Pretrained for commerce
Job
Catalog growth
Long-term goal
Long-term revenue
Training
Pretrained
Custom AI Agent
Built around your agenda
Job
Your process
Long-term goal
Agreed with you
Training
With our team
Bob · Product Catalog Agent
GEO Optimization
AI Videos & Rich Content
Dynamic Pricing
Product Enrichment & Listing
Marketplace Growth
Retention Marketing
Your AI employee for catalog revenue.
Bob finds where your catalog can earn more, proposes the next move and executes approved actions across six Superpowers.
Custom Agent · A role built for your business
Your team knows
Goal
Standards
Exceptions
Repeatable steps
Run by ACT
Exceptions
Sent to your team
Result
Reviewed together
Turn the work only your team knows into an AI employee.
Choose one process and one measurable outcome. Your experts teach the standards and exceptions. We train the agent to act through your approved systems.
Bob’s 6 Superpowers
Six ways Bob grows catalog revenue.
- 01GEO OptimizationGet the right products into AI answers.
- 02AI Videos & Rich ContentTurn catalog data into richer product experiences.
- 03Dynamic PricingProtect margin. Act on price and stock faster.
- 04Product Enrichment & ListingAnswer the questions that decide whether a product sells.
- 05Marketplace GrowthEnter the marketplaces where demand already exists.
- 06Retention MarketingTurn existing customers into more profitable repeat purchases.
Custom Agent
One role. One measurable outcome.
- Reads
- Incoming opportunity context
- Decides
- Checks it against your qualification standards
- Acts
- Prepares the next approved action
- Measures
- Acceptance and pipeline movement
and more than 7,700 other companies and teams
Customer stories
Product operations80% less listing effort. A new range goes live in one day, not a week.
Learned the brand tone for titles and descriptions. Turns supplier files into listings the team reviews and publishes.
Commercial operations100% automated from app to CRM. No manual handoffs between sales and product.
Tracks user behavior in the pension app and routes leads into Pipedrive.
Customer stories
An answer helps. An agent follows through.
AI Agents vs Chatvs. Chat
Advice is a starting point. An agent gets to work.
It analyzes your context, agrees the plan with you and carries it out through approved systems.
vs. One-off answers
The goal outlives the conversation.
The role carries context forward, watches relevant changes and reports progress.
vs. Automation
Let AI reason. Let ACT repeat.
Not every step needs a fresh decision. ACT turns recurring operations into workflows the agent reuses.
AgentOS
Start with one specialist. Build from there.
Agent Launch gives you the specialist to keep. AgentOS provides the managed data, actions and controls the assignment needs. Add roles on the same foundation, each with its own access.
Data Layer
Current governed business context.
Action · ACT
Repeatable approved execution.
Security
Role-specific access and control.
Skills & Connections
Maintained capabilities and tools.
One-time purchase
Pay once. Keep your agent.
Bob Agent Launch
For a first catalog or commerce goal using Bob.
$2,500
Expert work
Up to 8 hours in total
Custom Agent Launch
For one specialist role built around your process.
$5,000
Expert work
Up to 16 hours in total
Hours are shared across deployment, first goal and training.
Included in both
- One bounded first goal
- Baseline & acceptance criteria
- Team handover
- First month of AgentOS
After the included month
AgentOS, only if your role needs it.
Bob / catalog scope
From $300 / month
when paid annually · $3,600 per year · excluding VAT
Custom / enterprise scope
From $1,500 / month
when paid annually · $18,000 per year · excluding VAT
No positive ROI is guaranteed.
Before you start
FAQ
Is this just ChatGPT with extra steps?
No. The model is one part of the reasoning layer. The value is a specialized role: context, rules, approved actions, measurement and operation over time.
Isn’t this just automation?
No. A workflow tool repeats steps described in advance. An agent works with changing context and exceptions. Repeatable steps are delegated to ACT workflows, while decisions stay within the context of the role.
Will it replace my team?
The goal is not to remove your experts. It is to turn their standards into a role that takes over repeated work and escalates uncertain or sensitive cases.
Do I need to replace my current stack?
No. The agent acts through your existing approved systems and data. AgentOS is the governed operating foundation, not a reason to change your stack.
What happens in the first four weeks?
We agree the first assignment, baseline, KPI, data, systems and approvals. Our team trains the agent, launches a controlled workflow and evaluates the result.
Four weeks is a measurement target, not a guarantee of positive ROI.
What do we own?
You get the working agent, its training, memory, configuration and custom skills, within the scope of your agreement.
Ownership does not extend to the underlying foundation models, licensed data or unlimited transfer of dependencies.
Move one meaningful role forward.
Bob for the catalog, or a Custom Agent for the work only your team knows. One goal, an agreed baseline, your approvals.