Fashion marketplace
Size chart reconciliation agent
- Size charts collected from supplier sites
- Tables recognized in any format
- Checked against card data
- Mismatch queue for the team
- Recheck after fixes
800KSKUs
1000+websites
Corporate AI
Infrastructure and digital employees: AI for every role, a shared knowledge base, access to 1C, Bitrix24 and CRM within role permissions.
- AI for every role
- Corporate wiki
- 1C, Bitrix24, CRM
- Data inside the company perimeter
Platform capabilities
Company knowledge stops depending on individual employees and becomes a managed asset.
AI for every role
- Knows the department's rules
- Works with systems within permissions
- Persists when staff change
One knowledge base
- Clients, suppliers, agreements
- Updated automatically
- A source for every fact
Built into work channels
- Web chat and Telegram
- Bitrix24
- Claude and ChatGPT via MCP
Role-based access
- Permissions on systems, fields and records
- Filtered before data reaches the model
- Access closes when someone leaves
Commitment tracking
- Commitments from chats and email
- Summaries for employees and managers
- Deadline reminders
Model choice
- DeepSeek and open models
- Claude and GPT on approval
- Provider redundancy
Scenarios by role
Request, processing steps and access limits for each role.
Request
“Category summary and commitments to suppliers”
- ContextCategory and supplier pages in the wiki
- DataSales, stock and purchases from 1C
- ChatsSupplier agreements from chats
- SummaryResults, risks and commitments with deadlines
- RecordingFindings in the wiki with links to sources
Sources
1CWikiEmailWork chatsExcel
Available to the role
- Assigned category
- Purchase prices
- Suppliers
Closed
- Other categories
- Company finances
- Salaries
Only with approval
- Emails to suppliers
- Prices in 1C
Request
“Prepare a briefing for the meeting with client N”
- ClientClient wiki page and CRM history
- OrdersRecent orders and payments from 1C
- CommitmentsOpen commitments to the client
- PreparationChecklist per team guidelines
- Meeting resultsMeeting results recorded in CRM and wiki
Sources
Bitrix241CWikiTelegram
Available to the role
- Assigned clients
- Orders and payments
- Guidelines
Closed
- Revenue and margin
- Purchasing
- Other managers' clients
Only with approval
- CRM deals
- Commercial offers
Request
“Which team commitments are due this week?”
- CollectionCommitments from work chats and email
- MatchingMatched with CRM deals and tasks
- SummaryBy employee, with deadlines and links
- RisksOverdue items and tasks without an owner
- RemindersDraft reminders to owners
Sources
Work chatsEmailBitrix24Wiki
Available to the role
- Own team
- Direct reports' sections
- Team summaries
Closed
- Other teams
- Personal chats
Only with approval
- Reminders
- Tasks
Request
“Prepare a handover on my clients”
- Role historyFull work history of the role
- ClientsClient pages with agreements
- Open questionsOpen commitments and deadlines
- GuidelinesTeam rules and typical tasks
- PlanA first-week plan
Sources
WikiBitrix241CWeb chat
Available to the role
- Role clients
- Role history
- Guidelines
Closed
- Other roles
- Personal chats
Only with approval
- Emails to clients
Under the hood
Agent harnessMCP serversLLM gatewayVersioned wikiRole-based access modelAudit log
Models and integrations
The platform does not depend on one provider: the model is chosen per task and switches to a fallback if the main one is unavailable.
ClaudeAnthropic
GigaChatSber
YandexGPTYandex
GeminiGoogle
ChatGPTOpenAIDeepSeekQwen1CBitrix24CRMEmailTelegramWeb chatCursorMCP
Accredited Anthropic partner. Security is built into the architecture from day one.
- Role permissions are checked before data reaches the model
- Audit log of every agent action
- Protection from instructions hidden in emails and documents
- Changes in CRM and 1C only with approval
- Data inside the company perimeter, Russian 152-FZ
Cases
FMCG manufacturer
Competitor monitoring agent
- Prices, stock and rankings on WB and Ozon
- Weight and formula change detection
- Matched to your assortment
- Market news and Telegram channels
- Alerts on every change
24/7WB and Ozon monitoring
Pharma manufacturer
Online pharmacy monitoring agent
- Prices and availability vs competitors
- Banner placement screenshots
- Ad labeling recognition
- Closing documents
- Insights for each platform
Bannerswith screenshot and labeling
Global pharma company
Promo evaluation agent
- Baseline sales vs promo
- ROI and ROAS for each promo
- Retail chain agreement compliance
- Sales forecast
ROIfor each promo
Car dealer
Sales funnel analytics agent
- CRM leads and ad spend
- Sales call quality
- Stalled deals
- Customer RFM segments
CRM + adsin one funnel
Tour operator
Tour matching and proposal agent
- Client dialog and brief collection
- Options matched to the brief
- Draft commercial proposal
- Manager review before sending
Brief → proposalin one flow
FAQ
How is the platform different from public chatbots?+
A public chatbot keeps no company context and is not connected to its systems. Role AI knows the department's rules, works with company systems within permissions and maintains a shared knowledge base that stays in the company.
How is the existing knowledge base used?+
We import it into the platform along with employees' own work, including their 1C and Bitrix24 integrations. It becomes the agents' starting point, not one more base alongside.
How is access to restricted data prevented?+
No. Restrictions are applied in the integrations before data reaches the model, so the model never receives what the role may not see, however the question is phrased.
Which message sources are connected?+
Only work chats and mailboxes defined by company policy. Sources, retention rules and employee consent are agreed during design. Personal messages are out of scope.
What happens if a model becomes unavailable?+
The model gateway switches to a fallback. The default model is open and can run inside a controlled perimeter.
Where is the data stored?+
The wiki, role AI profiles, history and logs are stored inside the company perimeter or in a dedicated cloud in Russia.
Discuss implementation
Describe the departments and systems to connect. We will prepare a solution architecture and a demo on your data.
- Demo on your data
- Solution architecture
- Reply within one business day