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Antonio Montalvo

Work

Selected work and solution concepts

Examples of practical business tools and AI assisted workflows that can be set up around your process.

Professional examples shared on this site may be generalized or anonymized to protect confidential business, customer, and technical information.

Business tools

Business tools and workflow concepts

Examples designed to improve customer tracking, sales pipelines, reporting, document access, and internal processes.

AI workflow

Capturing what gets said on site

Problem: Outside sales reps spent long days on site with no practical way to take notes. Small but important points slipped through, like a customer asking about a certain piece of equipment.

Solution: We put in an AI note-taking tool that captured those conversations and turned them into reports, action item lists, and trip reports. Those went to the inside sales and proposal reps, who followed up on each item.

Completed tool

Business operations

Custom CRM System

Problem: Many businesses rely on spreadsheets, scattered notes, inboxes, or generic CRM software that doesn't match the way they actually sell and manage customers.

Solution: A CRM system set up around the company's own lead flow, customers, opportunities, follow up responsibilities, quotes, notes, reporting, and internal handoffs.

Capabilities
  • Lead management
  • Customer records
  • Opportunity tracking
  • Pipeline stages
  • Follow up tasks
  • Activity history
  • Quote and proposal tracking
  • Dashboards
  • Reports
  • Data export
  • Access by role when the project calls for it
  • Custom workflow rules

Document search

Proposal Reference Search Tool

Problem: Finding the right past proposal, quotation, or reference document can take a lot of digging.

Solution: A document search tool that helps sales teams find relevant past proposals, quotations, and reference documents faster.

Knowledge systems

Technical Reference Database

Problem: Legacy technical records can be difficult to search, reuse, and share across sales and engineering teams.

Solution: A searchable database that turns legacy technical records into organized information that's easier to find and use.

AI agents

AI assisted workflows

Concepts designed around real workflows, with a person reviewing the results before anything goes out.

These are examples, not finished products. For any business, we would set up the features, connections to other tools, data handling, and approval steps around how your team works and the rules you already follow.

Email intelligence

Email Intelligence Assistant

Problem: Sorting messages, figuring out what's urgent, drafting replies, and tracking follow up commitments all pull people away from their other work.

Solution: An AI assisted workflow that summarizes email activity, flags urgent items, drafts replies for review, pulls out action items, and helps organize follow up work.

Capabilities
  • Daily or weekly email summaries
  • Priority and urgency detection
  • Draft response generation
  • Follow up reminder extraction
  • Unanswered message identification
  • CRM note preparation
  • Department or topic routing

Meeting intelligence

Meeting Summary Agent

Problem: Important decisions, responsibilities, and follow up items can be lost across meeting notes, recordings, and long transcripts.

Solution: An AI assisted workflow that turns approved meeting notes, recordings, or transcripts into organized summaries with decisions, action items, owners, and deadlines.

Capabilities
  • Executive summaries
  • Decision tracking
  • Action item extraction
  • Identifying who is responsible
  • Deadline extraction
  • Follow up recommendations
  • Searchable meeting history

Knowledge systems

Internal Knowledge Assistant

Problem: Employees can lose time searching through policies, procedures, technical documents, past reports, and internal reference files.

Solution: A private AI assisted tool that answers questions using approved company documents and shows where each answer came from.

Capabilities
  • Document and policy search
  • Technical reference lookup
  • Procedure guidance
  • Source citation
  • Knowledge collections by department
  • Document access limited to what you approve
  • Searchable internal knowledge base

Proposal automation

Proposal and Document Assistant

Problem: Putting together proposals, scopes, summaries, and customer documents usually means a lot of repeat writing and digging through past material.

Solution: An AI assisted document workflow that helps teams find references, prepare organized drafts, summarize technical information, and pull supporting content together for someone to review.

Capabilities
  • Proposal draft preparation
  • Scope of supply drafting
  • Historical reference search
  • Technical summary generation
  • Executive summary creation
  • Standard template population
  • Review and approval workflow

Customer follow up

Sales Follow Up Agent

Problem: Customer commitments, next steps, and opportunities can become difficult to track across meetings, emails, notes, and CRM activity.

Solution: An AI assisted sales workflow that identifies commitments, suggests follow up actions, prepares draft emails, and organizes next steps with customers.

Capabilities
  • Commitment tracking
  • Follow up task generation
  • Draft follow up emails
  • Opportunity summaries
  • CRM note preparation
  • Customer interaction timelines
  • Overdue follow up identification

Workflow automation

Custom Workflow Automation

Problem: Many businesses rely on repetitive manual steps to move information between emails, documents, spreadsheets, reports, and internal systems.

Solution: An automation workflow set up to reduce repetitive admin work, keep processes consistent, and connect approved business tools.

Capabilities
  • File and document processing
  • Data extraction
  • Report generation
  • Approval routing
  • Notifications
  • Spreadsheet and database updates
  • Coordinating workflows with several steps
  • Custom integrations

Have a workflow that could run more clearly?

We can help define the problem, identify where automation or AI creates practical value, and design a solution around your existing process.