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IT managed service providers · Proposal and quote automation

From network assessment to signed managed services proposal, faster

Winning a new managed services client usually takes a discovery call, a network assessment, a security review and a proposal that ties it all together. The proposal is where deals stall. Someone has to translate scan results and meeting notes into seat counts, agreement tiers, onboarding project hours and hardware refresh lines, then format it all in Quoter or a Word template.

How it often works today
  • The owner or vCIO writes most proposals personally, often at night, because nobody else knows how to price onboarding and agreement tiers.
  • Network assessment results from tools like Liongard or a manual audit get retyped into the proposal, and details are missed or rounded.
  • Each proposal starts from the last one sent, so old pricing, outdated tool names and the previous prospect's company name sometimes slip through.
  • A week or more passes between assessment and proposal, and in that gap the prospect's current provider gets a chance to fix the relationship.

We would build a process where the discovery notes, assessment output and your pricing rules feed a structured draft. The account manager or vCIO reviews scope, seat counts and price, adjusts the narrative, and sends it. The aim is a proposal in front of the prospect within a day or two of the assessment.

The improved workflow

Write down your pricing logic

Capture how you price per-user and per-device agreements, onboarding projects, security add-ons and minimums, so the rules live in a document and price book rather than one person's head.

Structure discovery inputs

Use a consistent discovery form for users, devices, sites, line-of-business apps, compliance needs and current pain points, completed during or right after the call.

Generate a draft in your quoting tool

Inputs populate Quoter or ConnectWise Sell with the right agreement, onboarding hours and recommended hardware lines, and an AI step drafts the executive summary from the call notes.

Human review of scope and price

The account manager checks seat counts, exclusions, third-party costs and margin before sending. Any discount outside policy goes to the owner for approval.

How we deliver this: AI automation for small business or fractional CTO leadership, scoped in writing and run over 90 days. See pricing or the sample scope.

What we would measure

Days from assessment to proposal sent

Speed matters most when a prospect is frustrated with their current provider.

Owner hours per proposal

Shows whether proposal work is actually moving off the owner's desk.

Corrections found at review

Tracks whether drafts are accurate enough to save time rather than create rework.

Proposal win rate

Confirms that faster proposals are not weaker ones.

Where people stay in control

  • Every price, seat count, exclusion and contract term is reviewed by an account manager before sending; the AI never sets or changes pricing.
  • Assessment data revealing a prospect's vulnerabilities stays inside your systems and is summarized, not pasted raw, into any external AI tool.
  • Security and compliance claims in the proposal, such as HIPAA or CMMC support, are checked against what you actually deliver.
Example

A 45-seat accounting firm prospect

For example, in an illustrative case a 45-seat CPA firm finishes a discovery call on Tuesday. The account manager completes the structured form and uploads the assessment summary. By Wednesday morning Quoter holds a draft with the right agreement tier, an onboarding project estimate, a firewall replacement line and a summary referencing their tax-season downtime. The vCIO adjusts onboarding hours, removes a line the client already owns, and sends it Wednesday afternoon instead of the following week.

Tools typically involved

What the first 30 days look like

In the first 30 days we would review your last ten proposals, document how you price agreements and onboarding, measure turnaround from assessment to send, and design the discovery form. You would approve the pricing rules before any draft is generated.

Common questions

Will proposals start to look generic?

Only if the inputs are generic. The structured discovery form forces specifics: their applications, their sites, their compliance obligations, what went wrong with their last provider. The draft summary uses those details. Your account manager still rewrites the parts that matter, but starts from an accurate page rather than a blank one.

We use Quoter already. What would change?

Quoter handles line items, templates and distributor pricing well. What usually stays manual is getting the right items into it and writing the narrative around them. We would focus on that upstream step, connecting discovery notes and pricing rules to Quoter templates so the draft quote arrives mostly complete.

Can this handle project quotes too, not just managed services?

Yes, though we would usually start with one type. Managed services proposals are higher value and more repeatable, so they make a good pilot. Project quotes for migrations or refreshes have more variation, and we would add them once the pricing logic and review steps are working.

The business case

Does it pay for itself?

Illustrative defaults for a managed service provider. Replace them with your numbers.

What this workflow costs today

a month in staff time, before any lost sales

Monthly fee + assumed tools +
Break-even: new clients a month (at first-year value)
Or: staff hours recovered and redeployed
Break-even additional revenue
Value of +1 point of win rate
First 90 days, service fee

Illustration only, not a forecast or guarantee. Recovered staff time becomes a cash saving only if spending actually declines or the time goes into paid work. Tool costs are an assumption; we replace every number here with yours before recommending a scope.

Next step

Bring one expensive workflow. Leave with a clear next step.

In 30 minutes we look at one recurring workflow, what it costs you today and whether there is a credible case to improve it. If there is not, we will say so.

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