The GTM Decision System
The AI-native operating system for revenue execution.
The GTM Decision System is built to align your whole revenue motion on every account's most accurate case for change. Learn why our patented GTM deep reasoning and agentic workflows are trusted by Salesforce, Microsoft, Databricks and more — and how our new headless, composable system can protect your pipeline and your way of selling.
The GTM brain every account decision runs on.
Unlike generic LLMs and activity-centered knowledge bases, Databook's Customer Context Graph is purpose-built for GTM teams and grounded first in your customer's pain and urgency. We continuously compile financial, strategic, technographic and first-party GTM data into patterns you can act on — scores, peer benchmarks, normalized financial models and account-level risk threads. And, because it is built on domain-specific GTM expertise, our Context Graph looks not only at what the data says, but at what is missing: the absent mutual action plan, the unmapped board priority, the executive who was never engaged. A horizontal LLM cannot infer the gap it does not know to look for. Databook, on the other hand, is designed to know what good looks like when it comes to account and deal health.
- Third-party depth. Financials, filings, earnings transcripts, key developments, technographics and verified contacts — licensed, standardized, and refreshed continuously to answer “Why change? Why now?”
- First-party context. Your CRM notes, activity logs, and other internal data enrich the account story to answer “Why with us?”
- Reasoned, not retrieved. Patented AI algorithms detect both patterns and absences that are tracked as observations and then chained into threads, each carrying a verdict on deal risk and a timeline, and rolled up into the case for change.
- Provenance on everything. Source, date and lineage are attached to every fact, so sellers and leaders can trust insights are verified and take confident action to mitigate risks and progress deals.
Strategic action that unifies the GTM team on shared account truth.
Databook's agentic workflows include interactive guided coaches, autonomous agents, and one-click asset downloads. All are easy to build and can be configured to run anywhere, consistently carrying the account's case for change across the entire sales cycle without context loss through the funnel.
- Across all GTM roles, with a shared account truth. Workflows span the full range of GTM functions and processes, from marketing and sales operations to value engineering and customer enablement — including territory planning, account scoring and strategies, business cases, exec briefings, whitespace, renewals, and more. Every workflow is built on the same unified customer context.
- Built to your methodology. Our AI Studio and Agent Composer let your team clone, edit and publish workflows to your own business needs, across every stage of the sales cycle. Natural language combined with our comprehensive set of pre-built tools makes complex agentic building simple.
- Where you already work. Execute workflows anywhere your teams work, whether that's Slack, Teams, or your own internal app. You can even create and push custom assets, like account plans or exec POVs, as custom PPTX or Word outputs straight into the tools your team already works in.
- Deployed in weeks. The GTM Decision System is built to be modular, so start with the workflows that matter most and expand without re-implementation. Once you've activated the integrations that fuel the Customer Context Graph, the whole workflow range is easy to activate on your own timeline.
“Other LLMs don't know me, my company, my product, or how I sell. Databook is different. It understands our business and gives me insights that are truly tailor-made to our specific use cases.”
Headless, not brainless.
The Decision System is built to deliver Databook's patented GTM reasoning and agentic workflows in whatever surface your team already uses. Use our Command Center interface if you like, design your own front end, or integrate with your preferred applications.
- MCP and API. Every Databook workflow is available as a REST endpoint and through an MCP server, so your own agents, copilots and internal applications can run the same reasoning a seller runs and get back the same context with the same sources cited.
- Embedded where selling already happens. Databook runs inside the systems your team already has open, including Salesforce, Slack and Microsoft Teams, so a seller can ask a question and get an answer without switching context to go and find it.
- Your own data joins the graph. CRM records, conversation intelligence, collaboration history, planning data and your own product, value and messaging content all connect through the integration layer and resolve to the same entities the Customer Context Graph already holds. First-party context is joined to third-party truth rather than sitting in a system beside it.
- Composable front end. The rapid pace of AI today requires agility and flexibility, so we've designed the Decision System to be built however you like, controlled by you, so you're never locked into an interface you inherited and can't adjust. We'll show you how to build it your way, keeping the agentic reasoning layer intact.
- Governed at the organization level. Single sign-on, role-based access and a non-editable governance core mean the same rules apply whether someone is working in Salesforce, in Slack or calling the API directly.
- We design and build with you. Our services team configures the deployment alongside yours, and AI Bootcamps train your people to extend it themselves for long-term flexibility and fast time-to-value.
See the GTM Decision System in action.
Watch the launch event for a walkthrough of the Command Center, the Customer Context Graph and the agentic workflows behind it.
Watch the launch eventProof the system is working.
Dashboards close the loop from adoption through to revenue — so leaders can quickly tell who is using the system, what results it produced, and what moved in the pipeline over time.
- Adoption. You can see which teams are running which workflows and how often, and where a rollout has stalled, so enablement goes after the specific gap instead of scheduling another all-hands training.
- Productivity. Every workflow run is measured against the baseline you set at the start, so the hours returned per seller on account plans, executive briefings and business cases are a number you can audit rather than a vendor estimate.
- Pipeline movement. Coverage, average deal size, win rate and cycle time are reported for the accounts the system touched alongside the accounts it did not, which is the comparison that actually tells you whether anything changed.
- Usage tied back to revenue. Because every run is attached to an account and an opportunity in your CRM, the question of whether this created pipeline is answered in the data instead of argued from a good quarter.
- A single view for the CRO. Leadership gets one read on what the investment has returned this quarter, expressed in the terms the board already asks about, rather than a usage report nobody can act on.
“Databook gives me the ability to grab quick and impactful insights into accounts I am targeting — it has transformed the way I prospect and how I engage executives.”
Prove it in 90 days.
Over 90 days, baseline your motion, build skills at the frontier, and walk away with measured results that show a clear path to scaled success.
Start a 90-day proof of value