Strong Tide didn't sell us a tool. They understood the work first, helped us set the standard, and in two weeks built us an AI agent that produces proposals my reps are glad to use. That's rare.
CloudSAFE sells complex hosting and managed services through a focused sales team. Salesforce CPQ holds more than 200 products and does its job on price. What it does not do is produce the polished, narrative document a customer wants to sign, so reps were building proposals from the company's contract library by hand.
That library was a real asset. CloudSAFE had invested in 2024 in a solid set of standards: the RACI, the recurring and non-recurring service terms, the time-and-materials format, the backup and disaster-recovery language. The gap was that those standards lived in documents rather than in a system, so each rep reassembled them by hand for every deal. Proposals varied more than the team wanted, and reps were spending time on assembly that they would rather spend selling. Doug had recently taken sales under his own direction and saw a chance to make the proposal a stronger part of how CloudSAFE wins.
Strong Tide's view was that buying a tool before defining the standard would mostly speed up the inconsistency. The recommendation was to define the standard first, build an agent to run it, and treat a tool purchase as a later decision rather than the first one.
Strong Tide worked through the problem with the people closest to it: the rep closest to the customer, the solutions lead who had written the requirements, and the sales-ops lead who owned the systems. The raw material to define the standard was already on the table in their own notes. The advice to Doug was straightforward: hold off on the tool evaluation, lock the proposal content standard, then let an agent do the assembly the reps had been doing by hand.
An AI agent that takes what CloudSAFE already has, the CPQ pricing, the deal's meeting notes, and the company's own contract library, and produces a finished proposal. It works the way a good sales engineer would, in two stages:
Stage one, the briefing document. A clean narrative proposal the customer reviews and signs off on, built from the deal's meeting notes and the standard service language, with pricing pulled from CPQ.
Stage two, the statement of work. On approval, the agent drops that pricing into a locked, on-brand template, with the right terms and the standard RACI attached.
The judgment is built into the agent, not left to each rep. Pricing comes only from the CPQ quote, terms come only from the approved contract library, and the agent flags anything missing rather than filling it in on its own. It was tested end to end on real CloudSAFE deals across both of the company's main hosting lines, producing the proposal, the statement of work, and a change log that shows exactly what changed and why.
CloudSAFE walked into its national sales meeting with a working agent rather than a plan to buy one. The team held off on a software purchase until the standard was defined, and now has a clear picture of what a finished CloudSAFE proposal should be, which is the thing a tool decision should be measured against.
For a partner-driven business where the proposal is a sales tool and not just paperwork, the business case is direct. Proposals that match the quality of the work behind them. Fewer revision cycles before signature. Reps spending more of their time selling. And a standard the company can carry into the next acquisition rather than rebuilding it each time.
The 20-minute scoping call usually surfaces one or two workflows where AI has obvious leverage. No deck, no pitch.