CAIBots
CAIBots
Investment Research AI · Implementation Guide
Tier 3 · Technical Deep Dive
No credentials?
Request Access
See CAIBots in Your Environment
Schedule a 30-min live walkthrough with our research AI team.
📅  Schedule a Call
Authorized access only · CAIBots © 2025–2026
CAIBots
Investment Research AI — Implementation Guide
Production Integration · Data Architecture · Model Governance
Audience
Head of Research Technology · Data Engineering · Compliance Technology
Scope
System integration, data pipeline, model governance, compliance automation
Prerequisites
Bloomberg / FactSet API access · Portfolio management system API · Compliance system access
Timeline
6–8 weeks from architecture sign-off to production go-live
CONFIDENTIAL · FOR AUTHORIZED PERSONNEL ONLYCAIBots © 2025–2026 · caibots.com
01System Architecture Overview
Integration Principle

CAIBots operates as an AI intelligence layer that sits on top of your existing data infrastructure. Your Bloomberg terminals, FactSet licenses, portfolio management system, and compliance platform are unchanged. CAIBots connects via API and adds the agentic reasoning layer.

The production architecture has four integration layers: (1) Data ingestion connectors to your existing market data and internal systems, (2) the 7-agent orchestration engine running on CAIBots cloud infrastructure — 10 research workflow types supported across equity, fixed income, macro, M&A, and activist scenarios, (3) the analyst workbench interface that existing analysts use for review and approval across three HITL pathways (AUTO / SIGN-OFF / IC CMTE), and (4) the compliance automation layer that handles MiFID II logging, Reg FD clearance, and MNPI screening automatically.

02Data Integration Requirements
SystemIntegration TypeData ProvidedRequired
Bloomberg TerminalBloomberg API (BLPAPI)Real-time prices, earnings estimates, consensus, filingsRequired
FactSet / RefinitivREST APIFinancial data, ownership, estimates, transcriptsOne of two
SEC EDGAREDGAR API (live, free)10-K, 10-Q, 8-K filings · real-timeRequired
Portfolio Management SystemREST / FIX APICurrent positions, active weights, position limitsRequired
Compliance SystemREST APIRestricted list, watchlist, MNPI registerRequired
Research ArchiveFile upload / S3Prior research notes for style calibration (500+ notes)Required
Actimize / BehavoxREST APISurveillance flags, communication monitoringPhase 2
03Model Governance — MiFID II & Internal

All CAIBots research outputs are subject to mandatory analyst review and approval before distribution. The system is designed as a decision support tool, not an autonomous publisher. Every note carries a full audit trail: agent reasoning logs, data sources cited (with tool labels [VEC]/[API]/[SQL-DB]/[KG]/[MEM]), compliance checks performed, HITL pathway taken (AUTO / SIGN-OFF / IC CMTE), and analyst approval timestamp. Covers all 10 research workflow types.

RequirementHow CAIBots Addresses It
MiFID II Research UnbundlingEvery note auto-categorized as independent research. MiFID II log filed automatically with timestamp, analyst ID, and distribution list.
Reg FD ComplianceCompliance agent screens all inputs for material non-public information before note generation. Hard stop if MNPI detected.
MNPI ScreenReal-time restricted list and watchlist check on every entity before pipeline runs. Analyst cannot approve if MNPI flag is active.
Audit TrailImmutable log of every agent output, data source, compliance check, and analyst decision. Retrievable for regulatory examination.
Model DocumentationFull model card provided: training data, calibration methodology, known limitations, backtesting results. Satisfies internal model risk requirements.
04Production Deployment Checklist
Week 1–2: Data Connectors
Bloomberg BLPAPI integration. FactSet/Refinitiv REST setup. EDGAR live feed verification. Portfolio system API handshake.
Week 3–4: Calibration
Research corpus upload (500+ prior notes). Conviction scoring calibration to your coverage universe. Compliance rules configuration: restricted list, watchlist, MNPI register sync.
Week 5–6: UAT (incl. SC09/SC10 bearish scenarios)
User acceptance testing with representative research events across all 10 workflow types. Must include: earnings beat (SC01 type), earnings miss (SC09 type), coverage initiation, rating change, and at minimum one IC Committee scenario (credit/M&A/SELL initiation). Analyst feedback incorporated. Compliance sign-off obtained.
Week 7–8: Go-Live
Staged activation: earnings flash first, then ad-hoc requests. Parallel run for 2 weeks before full handover. SLA monitoring activated.
05Support & SLA
ItemStandard
Uptime SLA99.5% excluding scheduled maintenance windows (communicated 48 hours in advance)
Note Generation Latency<90 seconds end-to-end for standard scenarios · <3 minutes for complex multi-asset
Demo pipeline runtime (3.7–8.2s) reflects agent orchestration only. Production SLA includes live data fetch, compliance queue, and analyst notification.
Support ResponseP1 (system down): 1 hour · P2 (degraded): 4 hours · P3 (enhancement): next sprint
Model UpdatesQuarterly recalibration included. Major model version changes communicated 30 days in advance.
Regulatory UpdatesMiFID II, Reg FD, and MNPI rule changes incorporated within 30 days of regulatory effective date

Contact: contact@caibots.com · +1 (609) 721-2815 · Princeton, NJ

06Demo to Production — What Changes
Why This Section Exists

The interactive demo accurately represents the pipeline logic, HITL governance model, compliance gate structure, and all 10 research workflows (including SC09 earnings miss and SC10 SELL initiation). What it does not represent is the production plumbing beneath those workflows. This section maps every simulated layer to its production equivalent so your engineering team has a complete scope picture before scoping begins.

Eight integration layers require production build (these are infrastructure layers, separate from the 10 research workflow types). Three layers transfer directly from the demo with no change required.

LayerDemo (simulated)Production (what you build)OwnerTimeline
01 · Authentication Hardcoded credentials (cai / Demo) checked in client-side JavaScript — bypassable via DevTools SSO via Okta, Azure AD, or internal IdP with MFA enforced. Server-side session tokens. Role-based access: analyst, reviewer, compliance, read-only Client IT Week 1
02 · Market data Synthetic hardcoded strings — NVDA, JPM, PHC figures are realistic but fictional. No live feed. Bloomberg BLPAPI (real-time prices, estimates, filings) + FactSet or Refinitiv REST API (financials, transcripts, ownership) + SEC EDGAR live API (10-K, 10-Q, 8-K). See Section 02 for full data matrix. Client IT + CAIBots Week 1–2
03 · AI orchestration Single Claude API call from browser. No parallelism, no RAG, no tool use. API key stored in browser memory. Server-side orchestration engine (LangGraph or Temporal) running 7 genuinely parallel agents. Each agent has dedicated tool access, RAG retrieval against your research corpus, and structured prompt chains. API key in AWS Secrets Manager or Azure Key Vault. Inference runs on CAIBots cloud infrastructure. CAIBots Week 2–4
04 · RAG / knowledge base Not present. The demo agents use hardcoded log lines — no retrieval from real research history. Vector database (Pinecone or pgvector) loaded with your prior research corpus (500+ notes minimum). Semantic retrieval on every agent call for style calibration, coverage context, and house view alignment. Rebuilt on your data during Week 3–4 calibration sprint. CAIBots + Client Week 3–4
05 · Research output Hardcoded snippet string rendered as plain text in browser panel. Conviction scores are hardcoded integers. No export. Claude returns structured JSON (rating, PT, conviction scores, risk factors, narrative). Schema validated. Rendered to branded PDF via template engine (Puppeteer/WeasyPrint). Pushed to DMS (SharePoint, iManage), Bloomberg Publishing API, and/or analyst portal. MiFID II categorisation metadata attached automatically. CAIBots Week 4–5
06 · HITL workflow Approve / Escalate / Block buttons update badge colour only. State lost on page refresh. No notifications, no audit persistence. Approval task queued (Celery + Redis or AWS SQS). Analyst receives email/Slack notification. Decision (approve, escalate, block + free-text rationale) written to immutable audit DB with timestamp, user ID, and IP. Escalation routes to senior analyst or IC. Timeout triggers automatic escalation after configurable SLA window. CAIBots Week 4–5
07 · Compliance gate Simulated — always returns CLEAR. Green badge is hardcoded. No real restricted list or MNPI check. Synchronous API call to your compliance system (Actimize, Behavox, or internal) on every pipeline run. Checks restricted list, watchlist, MNPI register, and analyst conflict register. Hard stop if any flag is active — pipeline cannot proceed and analyst cannot override. Every check logged with timestamp and data source. Reg FD clearance and MiFID II categorisation filed automatically. Client Compliance + CAIBots Week 5–6
08 · Hosting & security Static HTML files served from any web host. No backend, no TLS enforcement, no access controls beyond the login gate. App server (FastAPI or Node.js) deployed in client VPC or CAIBots-managed cloud environment. TLS 1.3 enforced. WAF (AWS WAF or Cloudflare) in front. All secrets in managed secret store. Logging to SIEM. SOC 2 Type II audit available on request. Data residency options: EU, US, or hybrid. CAIBots + Client IT Week 1 (infra) + Week 7 (hardening)

What Transfers Unchanged

The following components are built correctly in the demo and require no redesign for production. They represent the core IP of the CAIBots platform.

ComponentStatusNotes
7-agent pipeline logic and sequencingTransfers as-isAgent roles, tool assignments, and parallel execution model are production-ready
HITL gate UX and governance modelTransfers as-isThree-outcome decision model (approve / escalate / block) maps directly to production workflow
Arch flow + analyst workbench UITransfers as-isFrontend component rebuilt in React or served as-is; visual design and layout final
Conviction scoring model (5-dimension)Transfers as-isFundamental, Valuation, Technical, Sentiment, Regulatory — recalibrated to your coverage universe in Week 3–4
Compliance gate structure and flowTransfers as-isGate position in pipeline, hard-stop logic, and audit trail design are final — only the API target changes
All 10 research scenario workflowsTransfers as-isEarnings flash, coverage initiation, credit alert, PM ad hoc, perpetual monitor, M&A event-driven, macro sweep, activist/13D — all prompt chains and output schemas are production-grade
MiFID II / Reg FD compliance designTransfers as-isCompliance agent prompt chain, MNPI screen logic, and audit trail schema designed to regulatory standard

Consolidated Timeline

SprintDurationDeliverable
Infrastructure & AuthWeek 1VPC provisioned, SSO configured, secrets management live, TLS enforced
Data connectorsWeek 1–2Bloomberg BLPAPI, FactSet REST, EDGAR feed, PMS API, Compliance API all handshaking
Orchestration engineWeek 2–4Server-side 7-agent pipeline live against real data. RAG corpus loaded and calibrated.
Output & deliveryWeek 4–5JSON schema validated, PDF template final, DMS push live, Bloomberg Publishing connected
HITL & auditWeek 4–5Task queue live, email notifications, immutable audit DB, escalation routing
Compliance integrationWeek 5–6Actimize/Behavox API live, restricted list sync, MiFID II auto-categorisation, Reg FD clearance log
UATWeek 6–710 representative research events across all 10 scenario types. Analyst feedback incorporated.
Go-liveWeek 7–8Staged activation: earnings flash first, then ad hoc. 2-week parallel run before full handover.

Owner key: CAIBots = delivered by CAIBots engineering  ·  Client IT = requires client engineering resources  ·  CAIBots + Client = joint delivery with defined interface points