Recover RFQs before they stall
Give customers a fast acknowledgement, capture missing details, and assign ownership before the opportunity disappears into inboxes and rep-specific threads.
A focused AI workflow for RFQ intake, parts availability, quote follow-up, order questions, ERP/CRM handoff, and human pricing review.
Response workbench
RFQ received
Missing specs
Sales task created
Availability question
ERP context checked
Draft response ready
Quote follow-up
CRM note updated
Owner alerted
Substitution request
Margin review required
Escalated
Designed to shorten response cycles while keeping pricing and commitments human-led.
For sales and operations leaders
This is most useful when quote speed, missed RFQs, order questions, manual follow-up, or ERP/CRM handoffs are already affecting revenue or staff capacity.
Give customers a fast acknowledgement, capture missing details, and assign ownership before the opportunity disappears into inboxes and rep-specific threads.
Prepare the context sales and operations need: part numbers, quantities, drawings, account history, inventory, lead time, and source notes.
Keep pricing, substitutions, delivery promises, and account exceptions under human review while the agent handles intake and follow-up work.
Manufacturing response reality
The value comes from connecting the incoming request to approved data, the right owner, and the right human decision point.
Part numbers, quantities, drawings, specs, due dates, delivery needs, and account context often arrive across email, forms, calls, and rep-specific threads.
Sales and operations need ERP, CRM, inventory, product docs, order history, quote trackers, and internal rules before they can respond with confidence.
Delayed acknowledgement, unclear ownership, missed RFQs, and slow quote follow-up can cost opportunities before the team reaches the real sales conversation.
AI can prepare context and draft next steps, but pricing, substitutions, delivery commitments, and margin-sensitive responses need human approval.
The first pilot should focus on the request types that slow sales and operations down every week.
Collect part numbers, quantities, specs, drawings, deadlines, account context, and missing information before sales review.
Check approved context and prepare structured responses or staff handoffs when availability, lead time, or order status is requested.
Create CRM activity, quote follow-up tasks, owner alerts, and next-step reminders so opportunities do not sit unnoticed.
Route pricing exceptions, substitutions, delivery promises, and margin-sensitive answers to authorized staff before customer commitment.
A useful agent does not just answer. It classifies, checks approved data, prepares the next action, and escalates the moments where people must decide.
01
Email, form, chat, call, or distributor request
02
Part, quote, availability, order, technical, or escalation
03
ERP, CRM, inventory, quote tracker, product docs, order context
04
CRM update, quote task, draft response, owner alert
05
Pricing, substitution, delivery, margin, or account exception
06
Response SLA, quote cycle time, handoff quality, follow-up completion
Human control
The agent can prepare context and action, but staff define what is safe to answer, what needs approval, and what must be escalated.
The agent uses only approved sources and can show where a draft answer or handoff came from.
Pricing, substitutions, margin-sensitive language, and delivery commitments can require staff approval.
Stale data, conflicting records, low confidence, or unusual account requests route to a human instead of being guessed.
Every request can preserve the source, owner, system context, decision, follow-up, and outcome for review.
Timeline depends on integration complexity, data access, security requirements, and how quickly your team can review workflow decisions.
Week 1
Confirm the first RFQ or order-response workflow, source systems, approval rules, handoff owners, and the KPI baseline.
Week 2
Configure classification, approved knowledge, ERP/CRM handoff patterns, response drafts, and quote or follow-up tasks.
Week 3
Review real examples, pricing exceptions, stale data, substitutions, delivery commitments, and escalation behavior with staff.
Week 4
Deploy the bounded workflow, track response SLA and quote cycle impact, review handoffs, and decide what should expand next.
The first build should prove faster response and cleaner handoff without weakening pricing control, margin protection, or customer commitments.
Not by default. The safer starting point is to collect context, prepare drafts, create quote tasks, and route pricing or margin-sensitive responses to authorized staff.
Yes, if the system exposes the right API, export, database, webhook, or integration path. The first step is mapping which fields are safe and useful for the workflow.
The agent should not guess. It can flag the uncertainty, show the source context, and route the request to sales, parts, or operations with a concise summary.
Yes. Routing, response rules, account context, and escalation paths can differ by customer type, territory, product line, or internal owner.
Common metrics include first response time, quote cycle time, missed RFQs recovered, manual triage avoided, CRM follow-up completion, and escalation quality.
Workflow assessment
We will review where RFQs and customer questions enter today, which systems need to be checked, where humans must approve, and which metric would prove the pilot is worth expanding.
Share the current RFQ, quote, order, ERP, CRM, or inbox workflow. We will look for a bounded pilot that can prove response speed, handoff quality, and value.