Your data and sources
AI integration for your business in Navoi
Your business systems. One clear conversation.
Connect AI assistants to your CRM, website, catalog and reports. Ask in plain language and get answers from your own systems instead of searching across dashboards. We build MCP servers, plugins and tools around specific business tasks.
Summarize project status and overdue tasks.
A project overview with owners and task links; amounts come from the agreed system.
Changes require confirmation
Role-based access
Scenarios tested before launch
Documentation and project handover
Where your project starts
Agree on project stages and statuses. Use system dates to determine overdue work.
This is an example implementation scope. Final functions depend on your system and its available API.
A project overview with owners and task links; amounts come from the agreed system.
PROJECTS · ESTIMATES
Projects, work stages, planned dates, owners and approved estimate versions.
- Compare responses with source records and their update times.
- Test missing data, restricted access and ambiguous requests.
- Review the result with the responsible employee before expanding access.
What you can delegate to AI
Start with a recurring task that takes staff time every day. Connect the sources it needs and check the output against real examples.
Sales and leads
Find a customer, review interaction history, list unanswered leads and prepare the next step.
Show today’s requests that have no manager response.
- Required data
- Request date, status, owner and most recent message.
- What you get
- A follow-up queue linked to source records, so the manager knows where to start.
Products and stock
Check a product code, availability, variants and current price in your inventory system.
Is this SKU in stock, and what is the wholesale price?
- Required data
- Product code, warehouse, pack unit and permitted price tier.
- What you get
- Inventory and price from your system; ambiguous product codes require clarification.
Management reports
Compare CRM and advertising data for a chosen period, showing the source and update time.
Summarize last week’s requests and spend by source.
- Required data
- Matching dates, timezone, lead sources and advertising costs.
- What you get
- A summary with source figures, update times and clearly identified missing data.
Operations
Locate an order or document, prepare a status update and route a task to the responsible person.
Find the order, check its status and draft a task for its owner.
- Required data
- Order number, available statuses, owner and change rules.
- What you get
- The order record and a prepared action, executed under the agreed approval rule.
From a question to a working action
The MCP protocol connects AI assistants to tools and data in your systems. Plugins add functions within a supported platform. Give AI specific tools and clear rules. Define the accessible data and the expected result for each scenario before implementation.
Describe the task
For example: find unanswered orders or check stock before sending a quote.
The assistant queries the system
A tool retrieves data through an API, including the required fields, source and operation status.
Review the result
A list, report or prepared action. If information is missing, the assistant says so.
Confirm important actions
Order changes, outgoing messages and other agreed operations follow the rules set for your project.
Connect the systems you already use
CRM, websites and CMS, inventory and catalogs, spreadsheets, analytics and internal databases. We first check the API, authentication and service requirements.
CRM
Customers, deals and contact history. Find records by name or number, review unanswered requests and prepare the next step.
Status · owner · latest contactWebsite / CMS / API
Catalogs, orders and website inquiries. Use available system methods to avoid manual copying between dashboards.
Order · product · inquiryInventory / ERP
Stock, SKUs, pack units and price tiers. Check the product code and warehouse before returning a result.
SKU · warehouse · unit · priceGoogle Sheets
Find rows and summarize approved spreadsheets. Agree on sheets, columns and permissions; enable writes separately.
Sheet · range · update timeAnalytics
Advertising and sales figures for the same period. Agree on metrics and source-matching rules.
Period · spend · requests · sourceInternal database
Targeted queries through server-side tools. Return permitted fields with clear error responses.
Allowed fields · filters · limitsUse the AI assistant that fits your workflow
Connection options depend on the platform: tools, remote servers and authentication support vary. AI subscriptions and third-party services are budgeted separately.
Three ways to solve your task
Connect an existing tool
Review an existing MCP server, configure permissions and test scenarios when the required functions are already available.
An existing tool supports the service and covers the required workflow.
- Review available functions and authentication
- Configure permissions and the chosen AI assistant
- Validate your requests and document staff workflows
Build a custom MCP server or plugin
Create tools for your CRM, catalog or internal system with the fields, validation and rules you need.
You need custom actions, fields or a workflow across multiple systems.
- Design tools and response formats
- Build connections, permissions and error handling
- Validate, deliver source code and setup instructions
Development and maintenance
Add sources and scenarios, adapt to API changes and maintain the connection within an agreed scope.
A working connection needs new workflows, staff access or data sources.
- Review new scenarios and API changes
- Run checks after updates and investigate failures
- Maintain documentation within the agreed scope
You set the boundaries. AI works within them.
Separate reading data from changing it. Grant only the required functions and keep credentials on the server. Agree on logging and retention before launch.
Start with read access
Begin with search, reports and viewing records. Enable data changes separately.
Verify that staff can only see authorized records and fields. Restricted data must stay out of responses.
Confirm important actions
Decide which operations require a person to review them before execution.
Test cancellation and repeated confirmation so one action is not executed twice.
Clear failure handling
Missing data, rejected API requests or expired access return a clear reason, not a fabricated success.
Test empty results, expired access and unavailable sources. Every case needs a clear status.
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From the first task to a working connection
Discovery
Choose a scenario and check systems and access.
- From your team
- A recurring task, system list and example of the current workflow.
- Deliverable
- An agreed scenario, data sources, boundaries and first-stage scope.
Prototype
Demonstrate it on a limited dataset.
- From your team
- Test access and several anonymized examples.
- Deliverable
- A working request → system call → verifiable response demonstration.
Validation
Check responses, permissions and failure cases.
- From your team
- A staff member who can compare responses with source records.
- Deliverable
- Validated requests, permissions, error handling and approval rules.
Handover
Connect staff and deliver the project and documentation.
- From your team
- An internal owner for the integration.
- Deliverable
- Team access, instructions, agreed source-code delivery and support terms.
What your project includes
- Compare responses with source records and their update times.
- Test missing data, restricted access and ambiguous requests.
- Review the result with the responsible employee before expanding access.
- An agreed list of sources and actionsList what the assistant can read, prepare and change, with request examples.
- Authentication and an access modelDefine roles, permitted data and a connection method that keeps secrets out of chat.
- A configured connection or source codeDeliver a configured connection; custom development includes the agreed source code.
- Normal and failure scenario checksTest normal requests, missing data, access failures and repeated actions.
- An operation log without unnecessary secretsAgree which events are needed for troubleshooting and how long logs are kept.
- Documentation, handover and support termsWalk staff through working scenarios and define the ongoing support scope.
Pricing follows a review of your task
Scope depends on the number of systems, API availability, user permissions and action complexity. Agree on deliverables, timeline and price before development. Development and maintenance are priced separately.
Before connecting
01Is this a separate chatbot?
Not necessarily. We can add tools to an AI assistant you already use. A separate interface or bot can be scoped if needed.
02Can any CRM be connected?
We check the specific CRM's API and permissions. If an appropriate API is unavailable, we suggest another data exchange method or explain the limitation.
03Can AI change records on its own?
Only within the agreed scope. The connection can remain read-only. Important changes can require confirmation and parameter validation.
04What do we receive after development?
The agreed tools, project access or source code as specified in the contract, documentation and tested scenarios. Hosting and support are agreed separately.
05How do we measure the value?
Choose a recurring task and a criterion before starting: reporting time, search completeness or operation accuracy. Compare the same examples before and after integration.
What clients say
Built around your industry and workflow
Choose an industry, city or area for a relevant example and connection plan. We work online and handle access and implementation remotely.
Districts, cities and niches
Show us the task you are tired of doing manually.
Tell us which systems you use and what you want AI to do. We will check connection options and propose a clear first stage.
AI
PROJECTS · ESTIMATES