Publish More Research, Cover More Companies - AI Research Automation for SA Investment Banks
South African equity research teams, asset managers and fixed income analysts are stretched across an expanding universe of companies, macro factors and market events. Manual financial model updating, earnings note production and market commentary writing consumes analyst capacity that should be devoted to differentiated insight and client engagement. Our AI research automation platform handles the data-intensive work so your analysts handle the thinking.
"Results season used to mean everyone working weekends. Smart AI processes the results, updates the m…"
Sipho Khumalo, Head of Equity Research
Your Analysts Are Data Processors, Not Alpha Generators
The research production cycle at SA investment banks and asset managers is predominantly manual and data-intensive. Updating financial models from results announcements, writing earnings notes, preparing morning calls, monitoring regulatory filings and tracking JSE corporate actions consume the majority of analyst time - leaving too little capacity for the differentiated, forward-looking analysis that actually drives investment decisions.
- JSE-listed companies typically publish results over a concentrated 6-8 week period twice a year - the volume of concurrent model updates and earnings notes required overwhelms most SA research teams
- Financial model updating from annual report data extraction alone consumes 4-8 hours per company per reporting season, multiplied across a 30-50 stock coverage universe
- Market commentary, morning notes and client briefing preparation requires daily data gathering that adds 1-2 hours per day to every analyst's workload before they begin substantive analysis
- SENS announcement monitoring, JSE corporate action processing and CIPC filing reviews require constant vigilance that creates systematic analyst distraction
- Research compliance - fair disclosure management, research disclaimers, conflicts of interest disclosure - adds administrative burden on top of an already stretched research production workload
The SA Research Team That Automates Routine Work Will Outperform the One That Does Not
In an era where global investment banks deploy hundreds of data scientists and AI systems to generate investment insights, SA research teams competing with manual processes are at a structural disadvantage. The firms that automate routine research production create capacity for genuine differentiated analysis - and differentiated analysis drives client relationships and mandates.
AI Research Automation That Handles Data - So Your Analysts Handle Insight
We deploy an AI research automation platform that continuously monitors JSE SENS, processes financial statements automatically, updates financial models from results data, generates structured earnings note drafts and delivers daily intelligence digests - enabling your analysts to focus entirely on differentiated analysis and client engagement.
Automated Financial Model Updating
AI extracts structured data from JSE annual reports, interim results and SENS announcements and automatically updates financial models with actuals, consensus revisions and ratio recalculations. Model updating time drops from 4-8 hours to 30 minutes of analyst review per company.
Earnings Note Draft Generation
Structured earnings note drafts are generated automatically upon results publication - incorporating actuals vs consensus, key segment performance, management guidance commentary and revised estimates. Analysts edit and enhance rather than write from scratch.
Continuous Market Intelligence Monitoring
AI monitors JSE SENS, CIPC filings, SARB data releases, National Treasury publications and SA macroeconomic data continuously. A daily intelligence digest is automatically compiled for each analyst's coverage universe and macro sectors, replacing manual news scanning.
Ready to implement this for your Investment Banks & Asset Managers?
Get My Custom AI Plan"Results season used to mean everyone working weekends. Smart AI processes the results, updates the models and generates a draft earnings note before I've even opened the PDF. I spend 30 minutes reviewing and refining instead of 6 hours building from scratch. Our coverage universe has expanded by 40% with the same team headcount."
Sipho Khumalo
Head of Equity Research, Impala Securities, Johannesburg
How It Works
Research Workflow Audit & Coverage Universe Mapping (Week 1-2)
We map your entire research production workflow - model structures, note templates, compliance requirements and data sources. Your coverage universe is ingested and each company's relevant data sources - SENS feed, annual reports, JSE data, CIPC records - are identified and configured.
Automation Build & Model Integration (Week 3-6)
Automated data extraction, model updating and note generation workflows are built for your coverage universe. Financial model connectors are built for your standard model templates. Compliance and disclosure workflows are integrated into the note generation process.
Analyst Onboarding & Results Season Deployment (Week 7+)
Analysts are onboarded to the platform with a structured training programme. The first results season with automation is managed with close support to validate output quality and refine the system based on analyst feedback.
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Limited availability - we take on 4 new clients per month
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