DECISION INTELLIGENCE, ONLINE
The intelligence layer for company knowledge
Your company knows more than it can find.
Delphi turns fragmented conversations, documents, tickets, and meetings into evidence-backed answers that teams can inspect, trust, and act on.
01 Evidence on every claim
02 Freshness-aware retrieval
03 Fact and inference separated
delphi://decision-context
Delphi answer
High confidence
Who owns the customer identity migration, and what is blocking it?
Finding
The Platform team owns the migration. The current blocker is a pending security review.
Verified owner
Platform team
Active blocker
Security review
Evidence
Decision record + project issue + meeting notes
sources, dates, and conflicts shown inline
Delphi connects knowledge already spread across
SlackTeamsJiraConfluenceDriveMeetings
01 The problem
Enterprise knowledge is abundant, but operational truth is scarce.
Important context lives across chat, documents, tickets, recordings, and private memory. Search returns mentions. Generic assistants return plausible summaries. Neither reliably tells a team what is current, who owns what, why a decision was made, or whether the evidence conflicts.
02 The product
Delphi is a trusted reasoning layer over internal knowledge.
It combines retrieval, structured company context, source authority, recency, and explicit uncertainty to produce answers that can support real decisions.
01
Connect
Index conversations, documents, meetings, tickets, and structured company systems.
→
02
Resolve
Map people, teams, projects, systems, decisions, dependencies, and evidence.
→
03
Answer
Return the finding first, with sources, dates, confidence, conflicts, and gaps.
03 Product capabilities
From enterprise search to operational intelligence.
Evidence-backed answers
Every material claim is tied to a source, date, and evidence path.
Semantic knowledge search
Find relevant meaning across documents, chat, meetings, and project systems.
Recency-aware answers
Use date-ordered retrieval for “latest” questions and flag potentially stale evidence.
Ownership resolution
Identify accountable people or teams without silently merging ambiguous names.
Dependency mapping
Trace systems, projects, teams, and initiatives through reviewed relationships.
Decision intelligence
Recover what was decided, where it was recorded, and the evidence behind it.
Blocker detection
Distinguish active blockers from resolved issues and incidental mentions.
Conflict detection
Surface competing facts and incompatible ownership or decision records.
Confidence scoring
Show how strongly the answer is supported and whether evidence is independent.
Fact vs. inference
Keep directly supported claims separate from analyst interpretation.
Attribution safeguards
Handle forwarded speech, automated posts, unknown senders, and ambiguous identities correctly.
Evidence gaps
Report missing, stale, unavailable, or unreviewed evidence instead of guessing.
Latest activity review
Summarize the newest updates by business area, team, project, or source.
Project and issue context
Combine task status with the surrounding decisions, dependencies, and ownership.
Full-source inspection
Open and inspect the underlying document instead of relying only on snippets.
Permission-aware retrieval
Respect source access and avoid exposing private conversations when public evidence is sufficient.
04 Beyond RAG
RAG retrieves information. Delphi builds decision context.
Retrieval-Augmented Generation is a useful component, but it is not the product. Traditional RAG finds relevant passages. Delphi evaluates which sources are authoritative, whether the evidence is current, how entities relate, where records conflict, and what the answer means for an operating decision.
“What information looks relevant?”
- Retrieves semantically similar passages
- Summarizes available text
- Often treats sources as equally credible
- Can surface stale or contradictory material
- Usually stops at an answer
“What does the company currently know, and what decision does it support?”
- Resolves people, teams, systems, and initiatives
- Ranks evidence by authority and freshness
- Separates fact, inference, conflict, and missing evidence
- Connects metrics to decisions, owners, blockers, and outcomes
- Supports the next operating action
RAG is one capability inside Delphi.
The product is the trusted operating context built on top of it.
05 Business performance intelligence
Dashboards show what moved. Delphi explains what may be driving it.
Delphi connects quantitative performance with the qualitative context already present across product releases, experiments, incidents, campaigns, support issues, decisions, and team updates.
Weekly conversion
-12.0%
Current3.8%
Prior week4.3%
Target4.5%
A dashboard identifies the movement.
Contextual first analysis
Medium confidence
Finding
The decline began after the new checkout flow was released. Mobile accounts for most of the movement, while desktop remains broadly stable.
Relevant context
A support issue was opened two days after launch, and the Growth team scheduled a rollback review.
What is still unproven
The timing is consistent, but causality has not yet been confirmed by a rollback or experiment.
Recommended next review
Compare conversion by device, traffic source, and cohort before and after release, and verify whether tracking changed at the same time.
Detect material movement
Track KPIs, targets, forecasts, anomalies, and changes across operating cycles.
Connect business context
Link metric movement to launches, experiments, incidents, campaigns, and decisions.
Produce a first analysis
Separate supported findings from hypotheses, with confidence and caveats.
Clarify ownership and next steps
Identify the relevant owner, open questions, existing commitments, and next review.
07 Product roadmap
The path from trusted answers to a company operating system.
Delphi starts with read-only intelligence. The roadmap expands from understanding company knowledge to helping teams monitor, coordinate, and eventually execute with controlled human approval.
NowTrusted knowledge layer
- Cross-source search and retrieval
- Evidence-backed Q&A
- Ownership, dependency, decision, and blocker context
- Freshness, confidence, conflict, and attribution controls
NextProactive intelligence
- Personalized briefings, KPI monitoring, and watchlists
- Change detection across metrics, projects, and decisions
- Risk, dependency, and stale-knowledge alerts
- Contextual KPI analysis and executive operating reviews
FutureControlled action layer
- Human-approved workflow execution
- Decision and commitment tracking
- Knowledge maintenance and contradiction resolution
- Enterprise APIs and embedded intelligence
08 Why Delphi
Trust is the product, not a disclaimer.
Evidence graph
Delphi models reviewed relationships between people, teams, systems, initiatives, decisions, and sources.
Source authority
Live decisions, documents, project records, and inferred context are not treated as equally authoritative.
Enterprise-specific reliability
Identity ambiguity, stale records, forwarded speech, bots, conflicts, and access boundaries are first-class concerns.