You don’t need a new CPQ.You need an always-on deal desk.

An always-on deal desk in Slack that moves deals forward at sales speed — while keeping RevOps and Finance in control with approvals, receipts, and audit-ready workflows.

Close certificationApproval routingQuote intelligencePost-close execution

Guided implementation included · Private hosted or customer-managed Docker deployment

Sellers want speed. RevOps needs control. Finance needs receipts.

Gremlin gives all three groups what they need in the same workflow — with deterministic execution, bounded automation, and receipts on every action.

For Sales

  • Get answers, quote status, revisions, and next steps in Slack
  • Approval routing and blocker resolution in seconds
  • Available 24/7 — not just business hours

For RevOps

  • Enforce policy, manage approvals, and keep a receipted control plane
  • Close certification and quote integrity checks
  • You set the rules — the system enforces them

For Finance

  • Stronger compliance and documentation quality at close
  • Audit-ready evidence on every deal mutation
  • Cleaner process from quote through close and renewal

A deal at 9:12pm shouldn’t wait until tomorrow

Your buyer is ready. Your rep is ready. Your deal desk is not.

9:12 PM

The buyer sends last-minute changes

The buyer needs a revision tonight before travel. Adjust products, increase quantities, update the discount, modify terms.

If this waits until morning, the deal is at risk.

9:13 PM

The rep opens Slack

Before the rep even types, Gremlin has already flagged 3 blockers on the deal.

Rep → @gremlin

“Add [email protected] as Decision Maker”

Rep → @gremlin

“Update the Acme quote — 50 seats, 10% partner discount, net-45 terms”

No tickets. No CPQ screens. No guessing who to ask.

9:13 PM

Gremlin handles the change

  • Identifies the rep and active opportunity
  • Finds the correct quote in Salesforce CPQ
  • Applies changes, checks discount and term thresholds
  • Auto-approves because the changes are within policy

No routing. No waiting. No human dependency.

9:14 PM

Approved quote delivered

@gremlin → Rep

“Updated and approved. Quote attached — ready to send.”

Quote generated. Approvals satisfied. Audit trail recorded.

10:02 PM

The deal is signed

The buyer signs and sends it back. The rep drops the signed PDF in Slack.

Rep → @gremlin

“Close this out.”

10:03 PM

Close certified

  • Verifies signatures and document integrity
  • Matches quote to contract to opportunity
  • Confirms pricing, approvals, and terms
  • Closes the deal in CRM with full receipt

Everything reconciled. Nothing missed.

The same Slack thread that updated the quote now finishes the close.

The deal desk went home at 5.

The deal still closed at 10:03.

Sales moved at deal speed. RevOps kept every control, validation, and receipt.

What actually happened under the hood

Every step was validated, enforced, and recorded — not just executed.

Quote & Document Integrity

  • Signed contract hashed and matched to the approved quote
  • Post-approval edits trigger a hard block
  • Dollar amounts, terms, and dates reconciled against CRM

Smart Document Processing

  • Each document classified: native, form, or scanned
  • Routed to the correct extraction path
  • Structured first, AI fallback only when needed

Real Reconciliation

  • Every mismatch tracked and scored
  • Binary vs semantic mismatches distinguished
  • Evidence linked to source: quote, contract, CRM

RevOps Sees Everything

  • Full trust context on every escalation
  • Exactly what changed, by how much, and why
  • Approve with evidence, not guesswork

Example: mismatch detected during close certification

Quote (CPQ):$50,000 · 12 months
Contract (Signed):$45,000 · 12 months

Mismatch detected: ARR −10%

Status: Blocked — requires approval before close

The messy middle is where deals die.

Most revenue teams don’t lose time because they can’t create a quote. They lose time because every deal gets slowed down by approvals, handoffs, missing fields, stale quotes, manual follow-up, and RevOps bottlenecks. Your tools aren’t broken — the operating layer between them is.

Deals slip because nobody knows what’s actually blocking them

Handoffs between sales, RevOps, and finance drop context — and deals stall

Stale quotes sit for days while reps chase status in side channels

Finance finds problems after the deal is already closed — revenue leakage, audit exposure

RevOps becomes a ticket queue instead of a control layer

Every deal is a one-off process that nobody can audit after the fact

Keep your CRM. Keep your CPQ.Add the always-on deal desk.

Other vendors ask you to replace your stack. Gremlin makes the stack you already have operable at GTM speed.

What they ask you to doWhat Gremlin does
Replace your quote engineWorks on top of the one you already have
Replatform your CRMConnects to Salesforce or HubSpot as-is
Multi-quarter implementationGuided implementation, live in weeks
New UI for reps to learnReps stay in Slack
Per-seat pricingPer deployment, not per seat

Close Certification Pipeline

When a deal reaches a trigger stage — Submitted for Close or Closed Won — the agent runs a multi-step certification pipeline. Every step is independently toggleable and configurable as auto, approve, or skip.

1

Field & Product Validation

Verify required fields, product mix, quantities, service dates, term coherence, ARR/MRR math, and close-period boundaries.

2

Quote & Approval Validation

Confirm expected quote state, approver chain, discount posture, and required approvals.

3

Document Verification

Preflight every close artifact, route deterministic or fallback extraction intentionally, persist provenance on every value, and verify signed documents against quote baselines before close progression.

Deep dive
4

Discrepancy Handling

Auto-fix trivial mismatches if policy allows. Escalate discrepancies to RevOps, finance, or legal with a structured reconciliation packet.

5

Final Close Progression

Move the opportunity to final Closed Won if policy allows, or route the exception and post the certification result for human close.

6

Post-Close Execution

Create the renewal shell, trigger configured Flows/Apex/webhooks, and publish the final receipt bundle.

AI extracts, policy decides. Document extraction informs certification, but deterministic policy remains the final authority on close progression. Historical Closed Won patterns calibrate what is normal; RevOps policy defines what is allowed.

Three surfaces. One product.

The rep never needs to know there are separate modules underneath. They talk to the deal desk. The deal desk handles it.

Slack — Rep Channel

Sales Reps

  • Request deal updates and ask deal questions
  • Initiate quotes and get status
  • Fix blockers flagged by health checks
  • Guided field updates scoped to active deals

Slack — RevOps Channel

RevOps & Approvers

  • Review and approve escalations with full context
  • Monitor agent activity and override policy
  • Approval/rejection with evidence and risk tier
  • Daily briefings with overnight findings

Control UI

RevOps Admin

  • Configure policy and approval thresholds
  • Set autonomy tiers per write class
  • Review full audit trail and receipt history
  • Manage agent autonomy and kill switches

Plan → Risk → Apply → Verify → Receipt

Every CRM mutation flows through this pipeline. No side doors, no shortcuts.

Plan

Findings become executable plans

Risk

Green / Yellow / Red tier assignment

Apply

Deterministic execution with budget caps

Verify

Post-execution confirmation

Receipt

Before/after snapshot with reason codes

AI proposes

Analyzes environment, history, and policy to recommend actions

Humans approve

Out-of-policy actions routed to the right approver with context

Deterministic code executes

No LLM in the write path. Validated, audited code executes

Autonomy Tiers — Set by RevOps

Green

Auto-execute within policy

e.g. Update a contact role, fix a blank required field

Yellow

Propose and wait for approval

e.g. Create a quote with >5% discount, change deal owner

Red

Surface and explain, never execute

e.g. Delete an opportunity, override a closed deal

Active Deal Support

Reps ask questions, fix blockers, update active deals, and route approvals — without living in CRM or CPQ screens. Works on day one with just a Salesforce or HubSpot connection.

Phase 1a

Read-Only Deal Intelligence

  • Deal status and field summaries
  • Deal health checks and blocker identification
  • Close readiness assessment
  • Missing fields, stale dates, incomplete contact roles

Phase 1b

Low-Risk Deal Writes

  • Add contacts and contact roles to active deals
  • Fix missing or stale fields flagged by health checks
  • Guided field updates scoped to the active deal

Phase 1c

Close Certification & Approvals

  • Policy-driven approval routing for out-of-policy changes
  • Close certification on submitted deals
  • Deal health alerts and escalations to RevOps
  • Audit trail on every mutation

Read-first approach builds trust before any writes. No dependency on customer's quote tool. Proves the trust model before touching quote creation.

Quote Intelligence

Read-heavy quote awareness layered on top of deal operations. Surface quote status, approval chains, and deal forensics across supported engines — without writing into any quote engine.

Quote status reads

Surface existing quote status, approval chain visibility, flag stale or conflicting quotes

Deal forensics

"How did we price similar deals?" — answered with evidence from historical closed-won patterns

Quote readiness

"Is this deal ready to quote?" — field completeness, approval path, pricebook resolution

Engine detection

Automatically detect Standard Quotes vs Salesforce CPQ vs HubSpot native vs third-party tools

Salesforce

Standard Quotes and Salesforce CPQ — auto-detected. Full read support, write-path for supported engines.

HubSpot

Native quotes with read support. Third-party tools (DealHub, PandaDoc) detected by discovery.

Quote execution and cross-CPQ orchestration expand on top of this governed operating layer. The universal quote interface sits on top of the quote systems you already own — not instead of them.

Discovery, not configuration

The agent doesn't rely on static configuration. It discovers your CRM environment and learns how your org actually prices and approves deals. All inferences are reviewable, versioned, and bounded by policy.

Schema Discovery

Objects, fields, relationships, custom fields, picklist values

Quote Engine Detection

Standard Quotes vs CPQ vs third-party — detected automatically

AI Field Resolution

Maps customer-specific field names to semantic concepts with confidence scores

Deal Forensics

Analyzes recent Closed Won and in-flight deals to learn pricing, structure, and approval patterns

Deal Archetypes

Clusters deals by motion (new logo, expansion, renewal), segment, product family, and size band

Approval Patterns

Learns who approves what, how long approvals take, and where exceptions happen

All inferred mappings, profiles, and archetypes are reviewable by RevOps, versioned, and bounded by policy. The agent does not silently mutate its own operating assumptions.

How it compares

Every alternative either asks you to replace something or hire someone. Gremlin is the operator layer on top of what you already have.

AlternativeWorks with existing stackRep UXControl / auditabilityAvailability

Ticket-based deal desk

Slack tickets, Jira, email

Works alongsideAsync, slowManual reviewBusiness hours

CPQ UI

Revenue Cloud, Steelbrick

Native but admin-heavyCRM-boundNative onlyYes

Replacement quote tools

DealHub, Conga, PandaDoc

Replaces your stackAnother UIOwn systemYes

Internal Slack workflows

Custom bots, Zapier

Fragile integrationSlackNo audit trailPartial

Gremlin Deal Desk

by FoundryOps

Overlay, not replaceSlack-nativePolicy-controlled + audit trail24/7

Clarity on scope

Not a CPQ replacement — works on top of the quote engine you already own
Not asking you to replatform — connects to your existing CRM and quote stack
Not a pipeline management tool — no forecasting, no lead scoring
Not a generic CRM bot — scoped to active deal operations
Not a replacement for RevOps judgment — AI proposes, humans approve, deterministic code executes

Stronger with Gremlin CLI

Deal Desk fixes the front of the process. Gremlin CLI fixes the system underneath it.

For Salesforce and CPQ-heavy teams, CLI gives RevOps a faster, more reproducible operating model for the revenue stack — so the systems Deal Desk runs on top of actually stay healthy.

Update 500 price rules

Bulk price book and discount schedule changes with receipts

Diff sandbox vs production

Catch config drift before it breaks live quote workflows

Backfill product catalogs

Migrate and reconcile catalog data across environments

Auto-generate documentation

Field maps, approval chains, and quote flow documentation from live config

Especially valuable for teams carrying years of CPQ customization. Same receipts, same control plane, same audit trail as Deal Desk.

Deal Desk runs on the same platform as the rest of the FoundryOps toolkit.

Gremlin Deal Desk supports Salesforce and HubSpot. Close certification, deal support, and quote intelligence work across both CRMs. Same control plane, same receipts.

See Gremlin Deal Desk on your stack

Close certification, approval routing, quote intelligence, and always-on deal support on top of Salesforce, HubSpot, and your existing quote systems.

Annual contract · Per deployment · Guided implementation included