Your CRM, compliance, and ops data — unified through AI
Sales leaders and reps juggle siloed systems every day. These are their stories.
The deadline is tomorrow and you're still chasing Legal for certs
Jordan Taylor is the VP of Sales at a B2B software company. A $2M RFQ just landed from a major manufacturing company. They want compliance certifications, project references in their industry, team capacity and staffing plan, and a technical approach — by end of business tomorrow.
Jordan knows the drill. She emails Legal for the latest ISO 9001 and SOC 2 certificates. She messages the solutions architect asking for manufacturing references. She checks with HR about team availability for the next quarter. She asks the proposal team to dig up past RFQ responses from the shared drive. Then she waits.
A day passes. Legal sends certs but the SOC 2 report is from last year — is the new one done? The solutions architect is in a meeting until 3 PM. HR says they'll "get to it." The proposal team found two references but they're in healthcare, not manufacturing. Jordan ends up assembling everything herself, cross-referencing for accuracy, reformatting into the response template. Average time to respond to an RFQ: 11 days. This one took 3 because she pulled an all-nighter.
With an AI assistant connected through an Agentic Control Plane, Jordan asks: "Pull together everything we need for a manufacturing RFQ — compliance certs, relevant project references, and team capacity." In one response, the assistant retrieves active ISO 9001 and SOC 2 certifications from the compliance system, finds four manufacturing project references with client outcomes, and checks resource availability across engineering and solutions architecture — all through governed, auditable tool calls.
Jordan has a draft RFQ response in 20 minutes. Not 11 days. Not 3 days. Twenty minutes.
Your biggest account has a P0 incident and you don't know about it
Atlas Manufacturing is a $340K account. Their payment processing just went down in the EU region. Engineering opened a P0 ticket at 2 PM. Raj is working on it. The support team is managing the escalation.
But does the sales team know?
The account executive finds out about it from the customer — not from the support team. She scrambles to get context: logs into the ticketing system (which she barely uses), checks the CRM for the renewal date, tries to figure out how bad this really is. Jordan, the VP, doesn't hear about it until the weekly pipeline review four days later. By then, the customer has already escalated to their CEO. Nobody calculated the revenue impact until the QBR.
This is what happens when your CRM, support tickets, and incident tracking live in separate systems with no connection between them. The data exists — it just doesn't flow to the people who need it.
With the AI assistant, Jordan asks: "Which customer issues are putting the most revenue at risk right now?" The assistant cross-references active incidents with CRM account data, contract values, and renewal dates. Instantly: Atlas Manufacturing has a P0 payment processing issue — $340K at risk, Raj is assigned, SLA is 4 hours. Quantum Retail has an API latency problem affecting their $780K POS migration. Orbit Logistics has a data sync delay and their renewal is in less than four months with no QBR in six months.
Jordan picks up the phone and calls Atlas before the customer has to escalate. That's the difference between reactive and proactive account management.
Now try it yourself
You're Jordan the VP of Sales. Ask about RFQ materials, check which accounts are at risk, pull compliance certs. Switch to Sarah the account executive to see how role and permissions change.
Build this for your sales team
GatewayStack connects your CRM, compliance systems, and operational tools through a governed control plane.