How to automate a manual quoting process

A quoting process does not need to be fully automatic to become faster.

In many businesses, the actual estimate requires experience and human judgement. The wasted time sits around that decision: collecting information, re-entering customer details, building documents, requesting approvals, updating systems and following up.

The best quote automation usually keeps the estimator in control while automating the repetitive work around them.

Start by mapping the current quote intake

Before choosing software, document how quote requests arrive today.

They may come through:

  • website forms
  • email
  • phone calls
  • CRM opportunities
  • account managers
  • spreadsheets
  • job-management systems

Then identify what information is required before an estimate can begin.

Common fields include:

  • customer details
  • contact information
  • service required
  • quantities
  • locations
  • dates
  • specifications
  • attachments
  • previous pricing or account terms

If staff repeatedly chase missing information, the first improvement may be a better intake process rather than automation further downstream.

Separate data collection from human estimating

This is one of the most important design decisions.

Many businesses assume that automating quoting means allowing software to calculate the final price.

That is not always sensible.

A stronger model is often:

Software collects and prepares the information → a person makes the estimate → software handles the administration after the decision.

This lets the business automate heavily without pretending that every job can be priced with a fixed formula.

Automatically pre-fill information you already know

If the customer already exists in your CRM or operational system, staff should not have to type the same details into a quote again.

Known information can be pulled into the quoting workflow, such as:

  • legal or trading name
  • billing details
  • account manager
  • standard terms
  • historical job information
  • contact details
  • agreed pricing rules where applicable

The estimator should be entering the information that is genuinely new, not rebuilding the customer record from scratch. If your CRM and quoting tools do not connect, see what to do when your business software doesn't integrate.

Structure the quote request

A structured intake form or internal quoting screen can cut down the back-and-forth.

The form should collect the information needed for the type of work being quoted while allowing attachments or notes for unusual requirements.

Conditional fields can keep the form simple.

For example, selecting one service type may reveal different questions from another.

The objective is to give the estimator enough information to make a decision without making customers complete an unnecessarily long form.

Route exceptions to a person

Automation works best on the normal path.

Define the situations that should stop the workflow and ask for human review.

Examples include:

  • missing required information
  • unusually high quantities
  • non-standard locations
  • custom contract terms
  • low-margin pricing
  • new service types
  • values above an approval threshold
  • conflicting customer records

Instead of failing silently, the workflow should create a clear exception for someone to resolve.

Generate the quote document automatically

Once the estimate is approved, software can populate a standard quote template using the customer and pricing information already captured.

That may include:

  • customer details
  • scope
  • line items
  • assumptions
  • exclusions
  • terms
  • expiry date
  • acceptance instructions

This removes the need to copy information into a Word document or rebuild the same layout manually.

The final document can still be reviewed before sending when appropriate.

Automate approvals without slowing the process

Not every quote needs the same approval path.

Rules can route quotes based on factors such as:

  • total value
  • discount level
  • margin
  • customer type
  • service category
  • unusual terms

A standard quote may be ready immediately while an exception is routed to a manager.

The system can notify the approver and remind them if the quote remains untouched.

That is more reliable than expecting someone to notice a forwarded email.

Sync quote status to the rest of the business

A quoting workflow should not end when the PDF is sent.

The quote status may need to update:

  • CRM
  • operations
  • accounting
  • project management
  • reporting

For example, when a quote is accepted the system could:

  • update the opportunity
  • create the customer or job record if required
  • notify operations
  • create onboarding tasks
  • prepare billing information

The accepted quote becomes a trigger for the next process instead of another manual handoff. The CorIT Tech case study shows a real version of that kind of handoff: during client onboarding, details held in the CRM create the project and its tasks without being retyped.

Automate sensible follow-up

Quote follow-up is another area where work often depends on memory.

Automation can create reminders based on the quote status and age.

A simple approach might be:

  • quote sent → create follow-up task
  • no response after a defined period → remind the salesperson
  • accepted → trigger the next process
  • declined → capture the reason where possible
  • expired → flag for review

Automated customer messages can also be appropriate for routine check-ins, but they should not replace genuine sales conversations where context matters.

Example quote workflow

A practical workflow might look like this. It is an illustrative example rather than a fixed template.

  • Request received: customer or staff member submits structured information.
  • Existing data retrieved: CRM information is pulled into the quote record.
  • Requirements validated: missing information is flagged before estimation begins.
  • Human estimate completed: the estimator reviews the job and sets the price.
  • Approval triggered if needed: non-standard quotes are sent to the appropriate manager.
  • Document generated: the approved information populates the quote template.
  • Quote sent and status tracked: CRM and internal systems are updated.
  • Follow-up scheduled: the team is prompted at the appropriate time.
  • Acceptance triggers the next workflow: operations, finance and delivery receive the information they need.

The human decision stays in the middle. The repetitive administration around it disappears.

Whether this is one workflow or a wider process change depends on where the delays are. We explain the difference in workflow automation vs business process automation.

When full quote automation is appropriate

A more automated pricing model can work when:

  • products or services have standard prices
  • the inputs are well defined
  • pricing rules are stable
  • exceptions are rare
  • margins and discount rules can be expressed clearly

Examples might include standard packages, repeat services or products with known pricing logic.

When full automation is the wrong answer

Keep human estimating when:

  • each job is genuinely different
  • site conditions matter
  • technical judgement is required
  • pricing depends on risk
  • information is often incomplete
  • the estimator adds meaningful commercial judgement

Do not force a complex estimating process into a simplistic calculator simply to say it is automated.

Automate the data preparation, document generation, approvals, system updates and follow-ups instead.

What should you measure?

Useful measures include:

  • average time from request to quote
  • time spent preparing each quote
  • percentage of requests missing information
  • approval delay
  • number of manual system updates
  • follow-up consistency
  • quote status visibility

You do not need a perfect analytics system. Even basic before-and-after measurement helps confirm whether the change actually improved the process.

Frequently asked questions

Can quoting be automated if prices need human judgement?

Yes. Automate the collection, preparation, approvals, document generation, system updates and follow-up while leaving the actual estimate with the person who has the expertise.

Do we need new quoting software?

Not necessarily. Your CRM, accounting platform or job-management system may already contain useful quoting features. Integration or a small custom interface can sometimes fill the gap without replacing the existing stack. If you are weighing that up, read should you automate a process or replace the software?

Can quote data flow into operations after acceptance?

Yes, if the relevant systems can be connected. Accepted quote information can be used to create jobs, projects, billing records or onboarding tasks.

Can AI generate quotes?

AI can help interpret requests or extract information, but final pricing should only be automated where the business has reliable rules and appropriate controls. AI should not invent commercial terms or estimates.

Automate the admin around the estimate first

If quoting is slow, map where the time actually goes. Quoting is also one of the business processes worth automating first for many teams.

The highest-value improvements are often the steps before and after the estimate rather than the judgement itself.

23Labs helps businesses redesign manual quoting workflows with business process automation, connect the systems involved through system integrations and build custom software where the existing tools fall short. If you would like a second opinion on your current quoting workflow, get in touch and walk us through it.