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InGen and RevGen, by Alpha Agentic Intelligence

Governed AI for investment decisions, business strategy and revenue growth.

InGen helps investment teams evaluate opportunities, investigate risks and prepare diligence. RevGen helps businesses and portfolio companies find growth, improve profitability and monitor performance. In both, every output traces back to its evidence and people approve what matters.

Two products

One for the investment decision. One for the growth that follows.

InGen

For investment teams

Evaluate opportunities, investigate risks and prepare diligence.

  • Screen targets against your mandate
  • Analyse financials and test management’s numbers
  • Record each risk with the document behind it
  • Prepare committee material from reviewed findings

Private equity · Venture capital · Family offices · Corporate M&A

RevGen

For businesses and portfolio companies

Identify growth opportunities, improve profitability and monitor performance.

  • Decide where the business should grow
  • Find revenue and profit opportunities in CRM and ERP data
  • Ask questions of your data in plain English
  • Track performance against plan between reporting cycles

Leadership teams · Commercial and finance · Portfolio value creation

What you get

See the result, not a description of it.

Both products produce work a colleague can check. The RevGen screen is the real product with demonstration data; the InGen one is an illustration.

Read the transcript

I’m Imtiaz Adam, founder of Alpha Agentic Intelligence. We build AI for decisions where being wrong is expensive: which company to invest in, and where a business should grow. We make two products. InGen helps investment teams screen deals, test the numbers and prepare diligence. RevGen helps businesses and portfolio companies find revenue and profit in their own data. Both work the same way. Every answer shows the evidence behind it, and a person approves what matters. So you don’t have to trust the AI. You can check it. Have a look, then book a demonstration, and we’ll run it on a case like yours.

InGenRisk found · Project Kestrel
High riskCustomers

Too much revenue from too few customers

The ten largest customers bring in 46% of revenue.source 1 The largest, a grocery retailer, brings in 14% and can end its contract with six months’ notice.source 2

Where this comes from

  • 1.Customer revenue spreadsheet, FY22–FY24Data room 4.2.1 · sheet “By customer”, rows 4–13 · calculated, workings saved
  • 2.Contract with Customer AData room 4.3.7 · page 12, clause 18.2 · quoted from the document

Checked by an analyst against the documents

Waiting for partner sign-off

Example screen with sample data. Names are fictional.

InGen: a risk it found

  1. 1What was found, in plain words.
  2. 2Where it came from: the exact document, page or spreadsheet.
  3. 3Who has checked it, and what still needs sign-off.

RevGen: asking about revenue

  1. 1A plain-English question, answered from your own records. Missing data is stated, never guessed.
  2. 2The customers, owners and values behind the answer, with links to open each record.
  3. 3A suggested action with what it is worth. A person decides whether to create the draft.
RevGen · Which deals are stalled?
RevGen answering the question Which deals are stalled. It is marked Governed, with the date the data was last received. It lists four open deals with no activity for 139 days in a table showing customer, owner, stage, expected value and silent days, links to the supporting customer and opportunity records, and suggests recovering the four deals, worth £116,351 to £187,000, with a Create draft button.
Real product screen, shown with demonstration data. Swipe sideways to see all of it.

Together

From evaluating an investment to growing the company.

The risks InGen records before a deal become the indicators RevGen tracks after it. Investors and management work from the same evidence.

  1. 1 · InGen

    Screen

    Find and compare targets against the mandate.

  2. 2 · InGen

    Diligence

    Test the numbers. Record risks with their evidence.

  3. 3 · InGen

    Decide

    Take reviewed findings to committee.

  4. 4 · RevGen

    Plan

    Set where the company should grow, and why.

  5. 5 · RevGen

    Grow

    Find and act on opportunities, customer by customer.

  6. 6 · RevGen

    Monitor

    Track the thesis between board packs.

Underneath

Shared capabilities, not separate products.

  • Plain-English analysis

    Ask questions of financials, CRM and ERP data in ordinary language and get an answer with its workings. This is the capability we call Generative BI. It sits inside InGen’s financial analysis and RevGen’s performance monitoring.
  • Coordinated agents

    Specialised agents for research, extraction, analysis and drafting work together on a task, under one set of permissions and one log.
  • Security and governance

    Access controls, approvals, audit records and deployment arrangements are shared by both products, so they are reviewed once and apply everywhere.

Governance

Built so the work can be checked.

These products inform decisions about investments, customers and money. The people accountable for those decisions need to see where an answer came from and to control what happens next.

Evidence traceability

Findings cite the document, page or record they came from. Calculations keep their workings. Unsupported claims are marked as unsupported.

Human approvals

People review findings and approve actions. The record shows who checked what, and what is still unchecked.

Access controls

Access is set by deal, account or business unit. Access and actions are logged.

Deployment options

Where the products run and where data is held are agreed and documented with each client before any data is loaded.

How governance works in practice

Who is behind AAI

Founded by Imtiaz Adam.

AAI was founded on a background that combines investment banking with technical work in AI: the two disciplines InGen and RevGen bring together.

Imtiaz leads the company and its product direction, supported by a team covering AI and machine learning engineering, multi-agent system design, enterprise strategy and change management.

  • Executive Director, Morgan Stanley
  • Former Head of AI Strategy at a multinational
  • MBA and Sloan Fellow, London Business School
  • Computer Science with AI research
  • International speaker on AI

AAI Intelligence

Analysis from the team.

All insights

Corporate strategy

Connecting corporate strategy to CRM and ERP data

Most strategies are written once a year and tested against anecdote. The data needed to test them continuously is already in the systems the business runs on.

· 4 min read

Advisory services

Some organisations need help before or alongside a product deployment: AI strategy, governance, data readiness and preparing teams to work with these tools.

See our advisory services

See InGen or RevGen working on a realistic case.

Tell us which product you want to see and what you are trying to decide, and we will shape the demonstration around it.

Book a demonstration