BuildFutures.ai
Case Studies

Measured outcomes from service operations.

Representative case studies show the workflow, the system built, and the operating result.

Accounting · 2 locations · 14 staff

Harbor & Vale Accounting automated 58% of tax-season intake without hiring

Operating context: tax-season intake with partner review on tax judgment.

Fourteen staff across two offices, a 14-week tax season, and an intake process — new clients, document collection, independence checks, engagement letter — that consumed 90 minutes of associate time per client. In peak March, associates were doing intake work instead of billable preparation.

58%
intake automated
11hrs
saved per preparer per week
3.4×
faster engagement-letter turnaround
0
tax filings delayed by intake friction

The Problem

H&V's intake workflow involved 4 touchpoints across three tools (email, document portal, CRM), plus a manual independence check against a 12-year client record. Most of the work didn't require tax judgment — but all of it required a human, because that's how it had always been done. During March, senior associates were spending 30% of their time on admin instead of returns.

What We Built

A conversational intake agent that collects required information, requests and verifies documents, runs the independence check against their full history, drafts the engagement letter from the firm's approved templates, and schedules the kickoff meeting. A partner reviews any flagged independence issue. Everything else runs without them. Live in 3 weeks.

Operating Guardrail

Substantive tax questions route to a partner with context attached. The system owns intake preparation; the firm owns tax judgment.

HVAC · 14 trucks · 38 staff

Summit HVAC cut quoting from 20 minutes to 3

Operating context: field-service quoting with dispatcher approval.

Fourteen trucks on the road, three dispatchers in the office, and every quote required a human to check parts availability, calculate labor, and write it up. In summer, that meant 40+ quotes per day — and the ones that took longest to send were the ones that went to a competitor.

3min
average quote turnaround
$8.2k
saved per month in dispatch
18%
close rate on quoted jobs
1person
freed from full-time quoting duty

The Problem

Summit's dispatchers spent 60% of their time on quotes — checking parts, calculating labor rates for different equipment, and writing proposals. During peak season, they were sending quotes at 9pm that should have gone at 2pm. Customers were getting three quotes the same day from competitors; Summit's was always last.

What We Built

An AI agent that receives the job details from a simple form the tech fills out on-site, checks parts availability against Summit's supplier APIs, calculates labor based on equipment type and truck location, and generates a formatted quote that goes to the customer within 3 minutes. The dispatcher approves it; they do not write it.

Operating Guardrail

Quote quality depends on clear job inputs. The form now captures equipment type, visible model details, and symptom checklists; incomplete submissions route back for clarification before a customer receives a quote.

Legal · 8 attorneys · 12 staff

Meridian Legal automated 60% of intake without losing the human touch

Operating context: intake automation with attorney review for conflicts and fees.

Eight attorneys, 12 support staff, and an intake process that required 3 phone calls, 2 emails, a conflict check, and 40 minutes of paralegal time per potential client. Most of that work didn't require legal judgment — but it all required a human because that's how they'd always done it.

60%
of intake automated
4.2×
faster conflict checks
92%
client satisfaction with intake process
3more
clients/week per attorney capacity

The Problem

New client intake at Meridian took 5-7 business days from first call to signed engagement letter. Conflict checks required manual searches across 14 years of client records. The intake form was a Word document emailed back and forth. Attorneys were spending 30% of their time on administrative intake tasks — time that should have gone to billable work.

What We Built

An AI agent that handles the first 60% of intake automatically: collects client information through a conversational form (not a PDF), runs conflict checks against the full 14-year database, flags potential conflicts for attorney review, drafts the engagement letter template, and schedules the initial consultation. The attorney reviews the conflict flag — that's the checkpoint. Everything else runs without them.

Operating Guardrail

Fee conversations remain attorney-led. The system prepares intake, conflict context, and scheduling, then routes the relationship-sensitive conversation to the attorney.

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