No system today
Start with Proposal Automation.
Use the first edition when the urgent job is getting RFPs, DDQs, and security reviews out with source citations, owners, and review flow.
Tribble pricing
Proposal automation starting at $30K. Deal intelligence scoped to your team.
Tribble is packaged around the work buyers can measure: response projects, governed knowledge, sales users, integrations, and enterprise controls. Start with the response bottleneck, then expand as the same intelligence powers more of the revenue team.
Annual contracts. Start with the response bottleneck. Expand into deal intelligence as the value compounds.
Annual model
Starting at $30K$30K
Proposal Automation
For teams replacing manual RFP, DDQ, and security questionnaire work.
50 annual projects
Sales Agent optional
Sales Agent optional
Custom
Deal Intelligence
For teams connecting response work, sales answers, and knowledge reuse.
Scoped to team size
Sales Agent users included
Sales Agent users included
Custom
Enterprise
For scale, governance, custom integrations, and multi-team rollout.
Volume, governance
and rollout scoped
and rollout scoped
Each step lowers the effective project cost while adding scope: more workflows, Sales Agent users, deeper governance, and more connected systems.
Find your starting point
Start with the workflow blocking revenue. Expand as approved answers get reused.
Most teams arrive with one of three situations: no response system, an existing RFP platform or answer library, or a regulated response operation that already spans teams.
Existing RFP platform
Move the library into governed sources.
Bring forward useful answer history, map source systems, keep the review discipline, and decide whether sales context belongs in scope now.
Regulated or high volume
Scope the operating model.
When response work needs sales answers, analytics, governance, integrations, or multi-team rollout, we scope Deal Intelligence or Enterprise to your exact requirements.
Financial services
RFPs, DDQs, ODD, investor diligence, fund and operating knowledge.
Healthcare
Health system RFPs, vendor assessments, privacy reviews, and security evidence.
Enterprise tech
RFPs, security reviews, SE answers, product docs, and deal follow-up.
Start with the workflow that is slowing revenue now
Transparent pricing where it matters. Custom scoping where it should.
Proposal Automation has a clear starting price. Deal Intelligence and Enterprise are scoped to your team size, workflow breadth, and integration depth because every org shapes them differently.
First workflow
Proposal Automation
A complete starting point for teams that need source-cited drafts, review routing, and exports for RFPs, DDQs, and security questionnaires.
$30K
/ year
50
projects/yr
Optional
agent add-on
$600
per project
- AI drafts for RFPs, DDQs, security reviews, and similar buyer response packages.
- Governed answer generation from approved content, past responses, and connected sources.
- Citations, confidence context, SME review routing, and approval workflow.
- Exports for Word, Excel, PDF, and client-required response formats.
- CRM context and basic analytics for response time, project status, and reuse.
A project is one completed response package (RFP, DDQ, security questionnaire, or similar). Need more? Additional capacity is available and discussed during scoping. Teams processing 100+ DDQs per year typically start with Deal Intelligence for the volume and governed knowledge layer.
Start with Proposal AutomationFull platform
Most teams land hereDeal Intelligence
Unify proposal automation, AI Knowledge Base, and AI Sales Agents on one governed graph so every buyer answer improves the next.
Custom
- Everything in Proposal Automation, plus AI Knowledge Base and AI Sales Agents.
- Sales Agent users for deal prep, buyer question answering, follow-up, and knowledge reuse.
- Call intelligence, CRM context, buying signals, and deal risk surfaced into response work.
- Bidirectional integrations across CRM, call intelligence, chat, storage, and support systems.
- Advanced analytics for knowledge gaps, answer quality, project throughput, and outcomes.
Enterprise scale
Enterprise
Bring deal intelligence into large, regulated, or multi-division environments with enterprise governance, volume, and implementation support.
Custom
- Everything in Deal Intelligence, plus enterprise controls and deployment support.
- Higher-volume Sales Agent users, multi-team rollout paths, and scaled response operations.
- SSO, SCIM, audit logs, advanced permissions, and data residency options.
- Custom connectors, API access, webhooks, and multi-language support.
- Dedicated customer success, premium SLA, QBRs, and custom reporting.
Additional projects
Add proposal project capacity beyond the base 50 projects included with Proposal Automation. Volume discussed during scoping.
Sales Agent users
Agent users are included in Deal Intelligence and Enterprise. User count and pricing are scoped to your team size during the demo.
Intelligence Services
Custom industry workflows are scoped separately after the platform scope, sources, owners, and business outcome are clear.
Same trust model at every tier
Every edition runs on source-cited answers with expert review and audit trails.
The difference between editions is scope and scale. The compliance model is consistent from the first response project to a company-wide rollout: SOC 2 Type II certification, source citations, permission-aware retrieval, expert review routing, audit trail, and no model training on customer data. Security is not a premium feature.
Approved sources
Citations & confidence
Expert routing
Reusable learning
Permissions & RBAC
Audit trail
No training on customer data
See enterprise controls in detail
What each edition unlocks
Proposal Automation covers response work. Deal Intelligence adds sales enablement and knowledge delivery.
All editions cover the response workflow. Deal Intelligence adds the connected sales, knowledge, and outcome context that turns response work into a repeatable advantage.
Proposal automation
AI draft generation with source citations, confidence context, and reviewer auditability
All editions
RFPs, DDQs, security questionnaires, compliance audits, and buyer response packages
All editions
Export, collaboration, expert routing, approvals, and project status
All editions
Go/No-Go analysis, quality scoring, deal fit, and knowledge-gap analytics
Deal Intelligence
Multi-language proposals, custom branding, custom reporting, and advanced rollout needs
Enterprise
Deal intelligence
AI Knowledge Base connected to proposal answers, source owners, and approved corrections
Deal Intelligence
AI Sales Agent users for deal prep, buyer questions, follow-up, and knowledge reuse
Deal Intelligence
Call intelligence, CRM context, buying signals, and outcome learning
Deal Intelligence
Bidirectional integrations: Salesforce (read-write), HubSpot, Gong, Clari, SharePoint, Google Drive, Confluence, Slack, Teams, and 30+ more
Deal Intelligence
Advanced analytics: knowledge gaps, answer quality trends, project throughput, and win/loss outcome correlation
Deal Intelligence
Enterprise governance & scale
SSO (SAML/OIDC), SCIM provisioning, and directory sync
Enterprise
Audit logs, data residency options, and advanced permission controls
Enterprise
Custom connectors, REST API access, and webhook automation
Enterprise
Multi-language proposals, custom branding, and white-label export options
Enterprise
Dedicated customer success, premium SLA (99.9%), quarterly business reviews
Enterprise
Multi-team rollout, division-level permissions, and executive reporting dashboards
Enterprise
Moving from Loopio, Responsive, Qorus, or a shared-drive library
Keep the workflow discipline. Move beyond the static library.
Static RFP libraries proved response teams need owners, approval history, exports, and repeatable project workflow. The takeaway is not to throw that muscle memory away. It is to connect it to live source systems, citations, sales context, and outcome learning so the answer base does not go stale between requests.
Migrating should not mean asking every SME to rewrite a library. The right motion is to bring forward useful answer history, identify authoritative sources, attach owners and citations, and rebuild the workflow around governed knowledge that stays current.
Export what is worth saving.
Bring over active libraries, prior responses, review notes, owners, and tags from your current tool or the shared folders that replaced it.
Find the source of truth.
Map which answers should come from Drive, SharePoint, Confluence, product docs, security policies, CRM notes, or support systems.
Clean the stale layer.
Deduplicate old Q&A pairs, retire risky language, preserve strong approved answers, and attach owners where policy or product language needs review.
Prepare the first production workflow.
Align the first RFP, DDQ, or security questionnaire workflow around citations, confidence, SME routing, approval context, and export handling.
Expand once the answers work.
Use the same governed graph for sales follow-up, call prep, knowledge-base questions, and deal risk. This is where Proposal Automation teams become Deal Intelligence teams. We scope the expansion to your team size and workflow breadth.
Total cost picture
The license is not the whole cost. Neither is the software.
Buyers usually compare subscription price first. The real difference shows up in content upkeep, SME time, implementation burden, governance risk, and the work required to make answers improve over time.
Cost area
Manual or static library
ChatGPT, Claude, or internal RAG build
Tribble operating model
Content upkeep
Teams keep rewriting Q&A pairs, chasing stale owners, and patching old answers.
The team still has to prepare sources, prompts, permissions, citations, and retrieval rules.
Approved sources, citations, owners, corrections, and outcomes become part of the next answer.
SME time
Experts answer the same questions repeatedly across RFPs, DDQs, and security reviews.
Experts get copied into chat threads because the model does not own review workflow.
Uncertain answers route to the right owner with source context and review history already attached.
Governance risk
Stale approved language can look safe until it reaches a buyer, security reviewer, or compliance reviewer.
Drafts may be useful, but citations, permissions, approvals, and audit trail have to be engineered separately.
Citations, confidence, permissions, approvals, and audit context travel with the answer.
Scale economics
More volume usually means more coordinator work and more SME interruptions.
More scope means more engineering, security review, integrations, and maintenance.
Edition pricing includes project capacity; additional projects are added in predictable blocks.
The build-vs-buy question
An LLM can write. It does not source, cite, route review, or learn from outcomes by itself.
The cost comparison above covers the operational picture. This section addresses the architecture question: why not just wire up ChatGPT, Claude, or an internal RAG pipeline? Because regulated response work needs source citations that survive audit, permission-aware retrieval, expert approval workflows, and a learning loop. That is an operating model, not a prompt.
Requirement
Generic LLM
Tribble
Source citations
No chain of custody. Answers go out without evidence of where the language came from, what was approved, or who reviewed it.
Every answer traces to its source document. Citations, confidence scores, and review history are visible to the response team and any compliance reviewer who needs them.
Compliance and audit
Chat history is not an audit trail. There is no record of what document an answer drew from, who approved it, or when it changed.
Built for regulated response operations. Permissions, review routing, source lineage, and approval history mean every answer that reaches a buyer has a verifiable path back to an authorized source.
Security and governance
Depends on individual user behavior. No role-based access to knowledge, no permissions on what the model can retrieve.
RBAC, SSO, audit logs, and permission-aware retrieval ensure the model only accesses sources the user is authorized to see.
Deal context
Can summarize what it is given, but does not naturally know the CRM, call, or account state.
Connects response work to CRM fields, calls, prior answers, knowledge gaps, and outcomes.
Learning loop
A corrected answer may stay in one conversation and never improve the next response.
Turns approvals, edits, and outcomes into reusable knowledge for the next buyer question.
Separate engagement
Need a workflow that does not exist in the market yet?
Tribble Intelligence Services can scope custom industry workflows after the platform foundation is clear: mapped sources, owners, review paths, integrations, and the business outcome worth automating.
Pricing FAQ
Questions buyers should not have to save for the call.
What is Deal Intelligence?
Deal Intelligence is the compounding advantage created when every RFP answer, sales call, and outcome feeds one shared knowledge graph. It makes every team's next interaction smarter than their last. See the full definition on the platform page →
Why publish pricing?
Because a champion should be able to qualify budget before booking a demo. The call should be about fit, source systems, workflow scope, and implementation path.
What counts as a project?
A project is one completed buyer response package: an RFP, DDQ, security questionnaire, compliance audit response, or similar request.
Can we start with RFP automation and add Deal Intelligence later?
Yes. That is the intended expansion path. Start with the response work slowing revenue now, then connect sales questions, knowledge delivery, calls, and outcomes once the first workflow is working.
Can we buy Proposal Automation only?
Yes. Proposal Automation is a complete starting point for response teams that need sourced drafts, project workflow, review routing, and exports without Sales Agent users on day one.
What if we do not have an RFP tool today?
Start with your highest-friction response motion. Bring a recent RFP, DDQ, security questionnaire, or compliance response, then use that workflow to define sources, reviewers, exports, and project volume.
How hard is it to migrate from an existing RFP platform or static library?
The work is mostly source mapping and governance design, not a blank-page rebuild. Bring forward useful answer history, connect authoritative sources, assign owners, and pilot on a real request.
Why not use Claude directly?
Use a general LLM for drafting and thinking. Use Tribble when the answer needs approved sources, source citations, permission-aware retrieval, reviewers, audit context, exports, CRM context, analytics, and a learning loop.
Do SMEs and reviewers need to be priced like sales users?
No. SMEs and reviewers who receive routed questions and approve answers are included in every edition. Per-user pricing applies only to Sales Agent users who use the AI for deal prep, buyer questions, and follow-up. The edition price covers the response team, project workflow, and expert routing without penalizing the team for sending answers to the right people.
What happens if we exceed the included project count?
Additional proposal projects are available beyond the base 50 included with Proposal Automation. The effective project cost improves as teams expand into Deal Intelligence and Enterprise. Volume is scoped during the sales conversation.
How do additional Sales Agent users work?
Sales Agent users are included in Deal Intelligence and Enterprise editions. The number of users and per-user pricing are scoped to your team size during the sales conversation. SMEs and reviewers who receive routed questions and approve answers are included in every edition at no additional per-user cost.
Can Tribble help with compliance and security questionnaires?
Yes. Tribble helps teams respond to security and compliance questionnaires, including SOC 2, ISO, FedRAMP documentation, privacy, and vendor-risk requests, from their own approved documentation and review workflow.
How should financial services, healthcare, and tech buyers scope the first edition?
Financial services teams often start with RFPs, DDQs, ODD, and investor diligence. Healthcare teams usually bring health system RFPs, vendor assessments, privacy reviews, and security evidence. Enterprise tech teams often start with RFPs, security reviews, product answers, and sales engineering follow-up.
Get a scoped estimate
Bring your real workflow. We will scope the automation and show you the ROI.
Bring a live RFP, DDQ, security questionnaire, sales question workflow, or migration plan. We will show where Proposal Automation is enough, where Deal Intelligence changes the economics, and what belongs in an Enterprise scope.
Average time to first production workflow: 48 hours from kickoff.
Bring your workflow