For Teams building GTM AI
A verified, AI-ready layer on top of your GTM data.
So your agents reason over what actually happened — in a harness that works - not raw transcripts and stale CRM fields.
The hardest part of building a GTM platform isn't the model or the workflows. It's the data underneath it.
Fragmented
One deal lives across calls, emails, CRM notes, and docs. Never in one place and up-to-date.
Unreliable
CRM fields are incomplete or inaccurate; transcripts are noisy and contradictory.
Difficult to Search
None of your tools offer the search harness an agent actually needs — you have to build it.
?Sources in. One verified record per deal. Queryable by anything.
01 · The Pipeline
02 · The Engine
Analyze
Reconciles every source into one record, then scores it against rubrics you define — the two systems most teams spend a couple quarters building, and longer maintaining.
The Deal Review agent
Outputs
03 · The Harness
MCP + API ready by default
Not a vector database wired to a chatbot — a harness built for how agents actually need to search: scoped, semantically matched, cited every time.
Reachable by any client
Claude
ChatGPT
Slack
SalesforceHubSpot
WorkflowsOne place to govern — not a dozen direct connections into raw systems. Tools return cited answers, not data dumps.
Knowledge base
Rubrics, playbooks, and battlecards you already have — plugged in, not rebuilt.
Every deal, scored against the rubric you define — not ours.
Point us at a doc — champion development, discovery quality, pricing fit, whatever your playbook actually measures — and every deal gets reviewed against it automatically, every time it changes.
Exec Summary
Meridian Health selected Frontline by Ormandy over Hindsight despite an active evaluation. The $240K ARR deal was lost primarily due to a perceived integration gap with their existing QuickBooks Online setup and concerns about migration risk. The rep marked loss reason as 'pricing' in Salesforce — buyer interviews revealed integration confidence was the real driver.
Decision Drivers
Buyer cited the absence of a native QuickBooks connector as the deciding factor. Three separate calls referenced it unprompted.
Champion flagged the complexity of migrating existing job history. No migration playbook was presented during evaluation.
Ormandy had a two-year relationship with the IT lead. Switching cost was perceived as high even before the demo.
Mentioned once in email. CRM recorded this as the primary loss reason — interviews do not support that conclusion.
Timeline pressure and procurement cycle length contributed marginally.
Scorecard
Competitors
Frontline by Ormandy
WinnerSelected. Had incumbent advantage and a native QuickBooks integration. Positioning focused on low-friction migration.
Manual processes
EvaluatedStatus quo was considered briefly. Dismissed early — not a real competitive threat in this deal.
Features
QuickBooks Integration
Gap3Buyer required a native connector. Hindsight does not have one — this was the deal's turning point.
Service Workflow Automation
Love2Buyer was impressed by the automation demo. Not enough to overcome the integration concern.
Job & Project Management
Request2Buyer asked whether job-level deal tracking was on the roadmap. Rep did not have an answer.
Answers
Decision Maker
Persona
IT Decision MakerPrimary Needs
Native integrations with existing finance and operations stack. Low-friction onboarding with minimal disruption to active service workflows. Confidence in vendor support during migration.
Plugs into the models and workflows you use, in a harness that works.
Connect via MCP or API to Claude, OpenAI, and any other agent or tool your team is building. Give everyone the power to retrieve deal context via our proprietary Deal Research harness.
Point your own agents and internal workflows at the verified record, over MCP or REST — the same scoped tool calls, with user-scoped OAuth and RBAC on every request.
Read the docs →+Hindsight MCPDraft a one-pager for the Datafold deal.
Drafted one-pager
Assembled from comparable wins + approved messaging — every claim cited.
The difference between AI you demo, and AI you trust.
AI access to your deal data, without the leak risk.
User-scoped OAuth + RBAC on every call, and every call is logged for a full audit trail. Bidirectional, controlled CRM write-back. SOC 2 — see the full trust center for our data-handling and privacy practices.
View the trust center →