Private Proposal  ·  CyVine LLC

Practical AI & Operations

Advisory for Santé Group

A focused proposal for improving pre-construction sales operations, estimating quality, and sales-to-operations handoffs through practical technology, workflow design, and AI-enhanced systems.

Santé Group does not need AI for the sake of AI. The opportunity is to use better structure, better data, and the right tools to improve the quality and efficiency of how work moves from sales, to estimating, to operations.

Prepared by Philippe Chaunu, Founder of CyVine LLC

A Personal Note

Royden, here is the opportunity I heard.

After our conversation, my understanding is that Santé Group is in the early stages of exploring how AI, APIs, and better internal systems can support the business.

The strongest opportunity I heard was not simply adding an AI chatbot. It was improving the workflow between sales, estimating, pre-construction, and operations — especially on the energy systems side where quality, accuracy, and speed matter.

This proposal is built around giving Santé Group access to a practical technical advisor who can help evaluate what is worth building, what should be avoided, and where AI or automation can create measurable value.

Philippe Chaunu

— Founder, CyVine LLC

CyVine LLC

How I Help Businesses

CyVine helps businesses turn unclear, manual, or fragmented workflows into practical systems that improve speed, quality, accountability, and decision-making.

Clarify Workflows

Map how work actually moves through the business — not just how people assume it moves.

Improve Handoffs

Reduce missed details, unclear ownership, duplicate work, and rework between departments.

Apply AI Practically

Use tools like OpenAI, Claude, and automation platforms only where they create real operational value.

Connect Systems

Use APIs, custom tools, dashboards, and workflow automation to connect information across teams.

Build Better Feedback Loops

Help the business learn from outcomes, variances, and repeated issues instead of solving the same problem repeatedly.

“CyVine helps businesses replace operational chaos with tailored systems.”

Santé Group Focus Area

AI-Enhanced Pre-Construction Workflow

A strong first area to explore is the workflow between sales, estimating, pre-construction, and operations.

This area often contains hidden inefficiencies because critical information moves through conversations, emails, spreadsheets, assumptions, and partial handoffs.

The goal is to improve both quality and efficiency before work reaches operations.

Potential issues this workflow can address

Incomplete project information

Inconsistent estimating assumptions

Sales promises that operations must resolve later

Missing documents, site details, or technical requirements

Slow proposal turnaround

Unclear scope or exclusions

Poor visibility into project status

Rework caused by bad or incomplete handoffs

Difficulty learning from estimate-to-actual variance

Workflow Design

What a Better Workflow Could Look Like

01

Structured Project Intake

Sales captures the right information upfront: project type, site details, energy system requirements, budget range, timeline, customer expectations, required documents, known risks, utility or permitting considerations, and photos, plans, specs, or drawings.

02

Completeness Review

The system flags missing or unclear information before estimating begins.

"Required site details are missing."

"Utility requirements have not been confirmed."

"Customer timeline may conflict with expected procurement lead time."

03

Estimating Package

Estimating receives a cleaner package with: scope summary, customer requirements, known constraints, open questions, assumptions, supporting documents, and risk notes.

04

AI-Assisted Review

AI can assist by reviewing drafts for: missing assumptions, unclear scope, missing exclusions, inconsistent language, risk areas, customer-facing clarity, and internal handoff notes.

05

Proposal / Approval

Leadership or sales reviews a cleaner, more complete proposal before it goes to the customer — with fewer surprises and clearer commitments.

06

Sales-to-Operations Handoff

Once approved, operations receives a structured handoff instead of scattered notes — with scope, assumptions, risks, customer expectations, and any decisions made during sales or estimating.

Continuous Improvement

How We Get Better

A pathway to reconcile estimates, research variances, and improve future decisions.

A strong pre-construction workflow should not stop when the estimate is sent.

The deeper value comes from creating a feedback loop between what Santé Group believed at the beginning of a project, what actually happened, and what the business can learn from the difference.

Every estimate contains assumptions. Every project creates new information. The opportunity is to capture those differences, reconcile them, and improve the next decision.

1

Initial Inputs

  • Customer needs and site details
  • Product and labor assumptions
  • Vendor pricing
  • Risks and timeline
  • Missing information flags
2

Estimate / Proposal

  • Scope and cost
  • Exclusions and timeline
  • Technical assumptions
  • Customer-facing commitments
3

Actual Outcome

  • Final cost and labor hours
  • Material usage and timeline
  • Change orders and delays
  • Operations feedback and margin
4

Variance Review

  • Why was the result different?
  • Were inputs incomplete or incorrect?
  • Did the customer change scope?
  • Were field conditions unknown upfront?
5

Research the Reason

  • Input issue
  • Sales or estimating issue
  • Operations or vendor issue
  • Customer change or external factor
6

Improve the Next Project

  • Add required intake questions
  • Update estimate checklist
  • Adjust labor or pricing assumptions
  • Add proposal exclusions or risk flags
Loop repeats with each project

Variance Review Questions

Were the initial inputs incomplete?

Were the initial inputs incorrect?

Did sales miss an important detail?

Did estimating make an assumption that was not validated?

Did the customer change the scope?

Did vendor pricing or availability change?

Did operations encounter field conditions that were not known upfront?

Was the issue predictable?

Could a better intake question have prevented the variance?

Should the estimating model, checklist, or proposal language be updated?

The outcome

This creates a shared language for improvement instead of blame.

Over time, Santé Group can turn each project into operational intelligence that improves quality, consistency, and profitability.

Interactive

Ask the Proposal a Question

Santé Group may still be early in exploring AI. This section is designed to answer practical questions and concerns about where to begin, what to avoid, and how to apply AI without wasting money.

Common questions

Ask your own question

Engagement

Ways to Begin

Santé Group can begin with advisory access, a structured discovery engagement, or a focused pilot. The recommended path is to begin with discovery so that any AI or automation work is tied to a real operational opportunity.

Option 1

Advisory Access

$1,500/ month

Ongoing access to a practical technical advisor for questions, direction, vendor and tool review, AI and API guidance, and operational technology decisions.

Includes

  • Up to 4 advisory calls per month
  • Email support for quick questions
  • Review of AI, API, and automation opportunities
  • Guidance on build vs. buy decisions
  • Review of vendor claims and technical feasibility
  • Practical recommendations as Santé Group explores AI

Best for: Santé Group wants ongoing technical guidance while learning what is possible.

Recommended Starting Point

Option 2

Advisory + Workflow Discovery

$3,500first month

Then $1,500 / month advisory access if desired

A focused engagement to understand Santé Group's current pre-construction sales, estimating, and operations workflow, then identify where AI, automation, or better internal systems can improve quality and efficiency.

Includes

  • Everything in Advisory Access
  • Pre-construction workflow discovery
  • Sales-to-operations handoff review
  • Estimating quality and variance discussion
  • AI and API opportunity assessment
  • Bottleneck and risk identification
  • Recommended first pilot
  • Written roadmap and next-step plan

Best for: Santé Group wants clarity before building anything.

Option 3

AI-Enhanced Pre-Construction Pilot

Starting at $7,500

A focused pilot to design and build a working prototype around a specific workflow improvement opportunity.

Possible pilot areas

  • Smart project intake workflow
  • Estimate completeness review
  • AI-assisted proposal quality review
  • Sales-to-operations handoff tracker
  • Estimate-to-actual variance review workflow
  • Pre-construction dashboard

Includes

  • Discovery and workflow design
  • Prototype build
  • AI and API integration where useful
  • Team walkthrough
  • Refinement after feedback

Best for: Santé Group is ready to turn the opportunity into a working system.

Recommended First Step

The best time to explore AI

is before tools are randomly added.

Santé Group has an opportunity to approach this carefully: understand the workflow, identify the real bottlenecks, and apply the right technology where it improves quality, speed, and decision-making.

The recommended first step is Option 2: Advisory + Workflow Discovery. Santé Group is still early in exploring AI and workflow automation. That is the right time to move carefully. Before building software, the highest-value move is to understand the real workflow, identify the highest-friction areas, and define the first practical pilot.

This avoids wasted spending, avoids disconnected AI experiments, and gives Santé Group a clear path from exploration to measurable operational improvement.

Commitment

Select an Option

Select the engagement option that fits where Santé Group is right now. Philippe will follow up directly to confirm details and next steps.