AI Estimating
Building plans in. A reviewable materials list and quantities out.
How I would approach
Create one reliable source for how Higharc explains and sells its products, then use it to keep Sales and Marketing materials accurate, current, and relevant to each audience. Use AI, sales data, and customer conversations to investigate priority revenue problems and recommend what should change.
Connect current product facts, messaging, customer evidence, and field learning to every material that uses them.
“Higharc is unique in that it’s a connected platform, and it’s built on a living building model.”
Kevin Brandon, Epcon Experts podcast, August 2025
Keep the product facts consistent. Adapt the value, questions, proof, and technical depth to the person in the conversation.
Building plans in. A reviewable materials list and quantities out.
Less manual work between plan intake and a quote that is ready for review.
Where does the team lose the most time before a quote is ready?A repeatable workflow that keeps estimator review and adjustment in the process.
Where does manual work or rework enter the takeoff process today?Plan inputs, product categories, controls, workflow fit, and accuracy requirements.
Which plan formats, product categories, and workflow requirements does your team need to support?What an AE could sayHigharc AI Estimating turns a 2D plan set into a material takeoff and quantity estimate your estimator can review, adjust, and use to prepare a quote. It reduces manual takeoff work while keeping the estimator in control.
When a plan set comes in, what happens before a quote is ready, and where does the most manual work or rework occur?
When the conversation reaches supported inputs, controls, categories, workflow fit, or accuracy boundaries.
The SDR gives the prospect a reason to meet. The AE then holds the introductory call.
RevOps first confirms how Salesforce defines Stage 0 and Stage 1. Completed AE intro calls are then compared by whether they advance, with cancellations and no-shows tracked separately.
Confirm how Salesforce defines Stage 0 and Stage 1. Measure completed AE intro calls that advance, with cancellations and no-shows tracked separately.
Match each SDR conversation to the AE intro call and opportunity outcome. Exclude records that cannot be linked reliably and report the gap.
Use AI to capture the buyer problem, value promised, questions, objections, and next step from every linked call. Keep each observation tied to its source.
Compare opportunities that reached Stage 1 with those that did not. Check segment, timing, lead source, original calls, and counterexamples before recommending a change.
AI reviews every linked call using the same criteria and cites the source moment behind each finding.
People test other explanations. A messaging difference is a reason to investigate, not proof of cause. Report patterns, not individual rankings.
Leadership sets the core message and decision rules. Marketing and Enablement can create routine materials within them without seeking executive approval each time.
Sequence the work around Higharc’s priorities and what is already underway.
Learn the products, buyers, materials, systems, owners, and work underway. Choose one product priority and one revenue question.
Create the shared source and the few materials AEs, Solutions Engineers, and Marketing need for one product area.
Join existing Gong or RevOps work, or run a defined analysis and return a short decision brief.
Set owners, review triggers, versions, and measures. Expand after the first examples prove useful.
AEs and Solutions Engineers explain Higharc’s products consistently. Sales and Marketing work from the same current facts and messaging. Leadership receives evidence-backed changes, not more content by default.
Based on the role responsibilities, official posting, and public Product information. Higharc would confirm priorities, owners, definitions, permissions, and measures before use.