RootNBerg CRM

Forms, email, social messages, calls, and follow-up tasks reach different places, so inquiries are missed or handled inconsistently.

• Website forms
• Email delivery and routing
• Call and message handoffs
• Customer intake fields
• Notification rules
• Existing customer records
• Follow-up responsibilities

• Website
• Forms
• Email
• Customer records
• Lead status
• Follow-up reminders
• Notifications
• Analytics

Customer Pipeline Setup

Create a reliable intake and follow-up path, with clear ownership, searchable lead records, statuses, and notifications.

A Systems Blueprint is recommended when several staff members, platforms, integrations, sensitive information, or custom dashboards are involved.

AI may summarize lead details, categorize inquiries, flag missing information, or draft replies. It should not quote complex jobs or make customer commitments without review.

We consider the public page and the operating path behind it together: forms, records, notifications, dashboards, hosting, and maintenance. We explain the work plainly, begin with the smallest useful repair, and expand only when the business case supports it.

Customer details live in inboxes, spreadsheets, phones, notebooks, and staff memory, making history and follow-up difficult to find.

• Current customer lists
• Notes and service history
• Files and documents
• Follow-up tasks
• Staff handoffs
• Permissions and reporting needs

• Customer database
• Notes
• Service history
• Tags
• Files
• Follow-up tasks
• Reporting
• Staff access

Client Command Center

Bring the useful customer context into one searchable record with clear ownership, follow-up dates, and staff handoffs.

A Systems Blueprint is required when teams need different permissions, records must be migrated, accounting or order systems connect, sensitive information is stored, or roles are custom.

AI can help summarize notes or improve internal search after permissions, source records, and human review rules are clear.

We consider the public page and the operating path behind it together: forms, records, notifications, dashboards, hosting, and maintenance. We explain the work plainly, begin with the smallest useful repair, and expand only when the business case supports it.

Product structure, SKUs, pricing, shipping, inventory, or fulfillment rules are unclear and orders require too much manual handling.

• Product catalog and options
• SKUs and pricing
• Payments and shipping
• Inventory rules
• Order notifications
• Support and fulfillment handoffs

• Product pages
• SKUs
• Pricing
• Payments
• Shipping
• Inventory
• Orders
• Customer communication
• Analytics

Storefront Starter

Organize a straightforward catalog and document the customer-to-fulfillment path before adding more sales channels or automation.

Paid discovery is required for complex product options, multiple channels, marketplace or accounting integrations, custom inventory rules, dropshipping, wholesale pricing, or custom order dashboards.

Conventional catalog, inventory, notification, and order rules should be reliable before AI is considered for support summaries or product assistance.

We consider the public page and the operating path behind it together: forms, records, notifications, dashboards, hosting, and maintenance. We explain the work plainly, begin with the smallest useful repair, and expand only when the business case supports it.

Information is copied between tools, questions are answered repeatedly, follow-up depends on memory, and reports require recurring spreadsheet work.

• Intake and handoff steps
• Repeated messages and questions
• Customer records
• Internal documentation
• Notifications
• Reporting and approval points

• Intake
• Email
• Customer records
• Documentation
• Notifications
• Reporting
• Automation

AI-Ready Business Audit

Map the repetitive work, identify reliable rule-based improvements, and define the few places where AI interpretation would create a practical advantage.

Use a Systems Blueprint when automation crosses several systems, affects financial or customer commitments, involves sensitive data, or requires custom interfaces.

AI may organize information, summarize requests, assist with drafts, and improve internal search. It should not replace owner judgment, invent claims, publish unapproved communication, or handle sensitive data without safeguards.

We consider the public page and the operating path behind it together: forms, records, notifications, dashboards, hosting, and maintenance. We explain the work plainly, begin with the smallest useful repair, and expand only when the business case supports it.

Updates and backups are inconsistent, access is unclear, certificates or domains may lapse, monitoring is absent, and the site periodically breaks.

• Hosting and domain ownership
• Backups and restore path
• Software updates
• SSL and expiration dates
• Administrator access
• Uptime and error monitoring

• Hosting
• Backups
• Updates
• SSL
• Domains
• Access control
• Uptime monitoring
• Analytics

Online Presence Rescue or Digital Operations Retainer

Stabilize ownership and critical services first, then establish a repeatable maintenance, backup, monitoring, and review routine.

A Systems Blueprint is useful when a migration, several applications, custom infrastructure, sensitive data, or multiple responsible vendors are involved.

Monitoring and maintenance should rely on deterministic checks. AI can help summarize logs or incidents, but it should not be the control layer for security or backups.

We consider the public page and the operating path behind it together: forms, records, notifications, dashboards, hosting, and maintenance. We explain the work plainly, begin with the smallest useful repair, and expand only when the business case supports it.

Generic software does not match the operation, and customer, job, order, or support records need a unified interface and clearer visibility.

• Current tool map
• Users and permissions
• Data sources
• Required integrations
• Migration needs
• Sensitive-data boundaries
• Budget, timeline, and technical risks

• Customer records
• Jobs or orders
• Staff roles
• Files
• Reporting
• Integrations
• Search
• Operational dashboards

Systems Blueprint Session

Define the users, workflow, data, integrations, migration needs, risks, budget range, and recommended architecture before quoting implementation.

A Systems Blueprint is required. Custom dashboards, internal applications, migrations, integrations, and sensitive-data workflows should not receive a fixed build price before discovery.

AI may support classification, summaries, drafting, or search where useful, but the system must remain reliable and usable without unreviewed model decisions.

We consider the public page and the operating path behind it together: forms, records, notifications, dashboards, hosting, and maintenance. We explain the work plainly, begin with the smallest useful repair, and expand only when the business case supports it.

The business sees potential in AI but has not mapped the repetitive work, approval points, privacy boundaries, or places where ordinary automation is better.

• Repetitive workflow map
• Common customer questions
• Documentation gaps
• Human approval points
• Data-risk boundaries
• Conventional automation options
• Implementation priorities

• Documentation
• Intake
• Internal search
• Customer records
• Draft communication
• Approvals
• Automation

AI-Ready Business Audit

Identify safe, useful opportunities and explicitly document where rules, forms, filters, databases, and notifications are more reliable than AI.

A Systems Blueprint is required when AI connects to sensitive data, performs actions across business systems, affects customers, or needs a custom application and approval workflow.

Use AI where interpretation, summarization, classification, drafting, or search materially improves the workflow. Do not add it merely because it can be added.

We consider the public page and the operating path behind it together: forms, records, notifications, dashboards, hosting, and maintenance. We explain the work plainly, begin with the smallest useful repair, and expand only when the business case supports it.