Board-ready AI spend defense

Defend your AI spend before the board asks. In 21 days.

Your AI strategy is probably a mix of random tools, vendor demos, and panicked experiments. Taloflow Vector turns that sprawl into a defensible Buy, Build, or Ignore plan with the ROI math, kill list, and implementation path ready for next month’s board meeting.

Book a Vector Review See the Vector model
  • 21 daysaudit to board defense
  • Buy / Build / Ignorefor every priority use case
  • Kill Listfund AI by cutting waste

Decisioning framework trusted by teams at

01  /  The problem

Your AI strategy is becoming a liability before it becomes an advantage.

I.

The board will ask

Boards, CEOs, and PE sponsors are asking what AI spend is producing, what should scale, and what should stop. You need an answer that can survive scrutiny.

II.

Sprawl is compounding

Every function has a shortlist. Sales picked one tool, ops picked another, finance is evaluating three more. Nobody owns the portfolio view, and overlapping spend is quietly turning into technical debt.

III.

Static roadmaps fail

A slide deck goes stale the moment vendors, costs, constraints, or priorities change. You need a live decision model, not more homework for executives.

02  /  The shield

The rigor of a Big Three firm at the speed of a technical sprint.

Vector takes the structured decisioning framework Taloflow has run for major technology buyers and turns it into a 21-day audit of your operational reality: what to buy, what to build, what to ignore, and what to cut to fund the transition.

AI spend defense

A board-ready view of the AI and technology spend you can defend, the spend you should stop, and the use cases worth funding next.

Vectorized roadmap

Standard roadmaps are static. A Vector roadmap is a live data model of your use cases, constraints, vendors, costs, risks, and priorities.

Buy, Build, Ignore

A high-velocity decision framework for each priority use case, backed by scoring logic, ROI math, TCO assumptions, and vendor evidence.

03  /  The credibility

Built on the same decisioning rigor used inside high-stakes consulting work. Delivered faster.

Taloflow has supported technology stack and AI decisioning for Nvidia, Roche, IBM NS1, Reckitt, the Government of Jersey, Booz Allen Hamilton, Alvarez & Marsal — and for the advisory firms themselves.

The velocity advantage

Not a cheaper consultant. An automated strategy lead.

Taloflow’s structured decisioning framework is the same one tier-one consultancies have used to support their own client engagements — including teams at PwC and Tenarai.

The difference is velocity and evidence. A traditional strategy project can take months to produce a recommendation. Vector uses Taloflow’s data-backed evaluation engine to give leaders the board defense, ROI model, and implementation path in 21 days.

  • Big-firm rigor translated into a focused technical sprint
  • Underlying data delivered to you, not locked in a slide
  • Evidence package designed for board, CFO, and operator scrutiny
Traditional strategy project Vector
Time to board answer Months of interviews and synthesis 21-day technical sprint
Primary output Static recommendations Live Buy / Build / Ignore model
Funding logic Budget request Kill List funds the AI transition
Underlying data Often summarized Shipped with the board pack
Decision defense Partner narrative Scoring, ROI, TCO, and rationale
04  /  What you get

The evidence pack that makes your AI spend defensible.

Vector does not hand you another generic gap analysis. It gives you the board pack, the live model, and the cost cuts that make the plan fundable.

D1

Board defense memo

A C-suite-ready presentation that explains what to fund, what to stop, why now, and how the ROI will be measured.

D2

Buy / Build / Ignore map

Each use case gets a clear action path, with rationale tied to your operating model, constraints, and technical reality.

D3

The Kill List

The legacy tools, overlapping contracts, and redundant features you can stop paying for to help fund the AI transition.

D4

Underlying evaluation data

The full component-level scoring data behind every recommendation. You own it. You can re-run it later.

D5

ROI, TCO & value gap

Three-year cost and return modeling, including the cost of doing nothing and the savings from consolidation.

D6

RFP and vendor script

RFP language, demo questions, objection handling, and scoring prompts so vendors have to respond to your decision logic.

D7

Lifecycle decisioning support

On-call support through vendor demos, scoring sessions, contract review, and the executive sign-off conversation. We stay until the decision is defensible, not just until the deck is delivered.

05  /  The process

Six steps. 21 days. One defensible AI spend position.

  1. 01

    Pick the pressure point

    We align on the function or P&L line in scope: claims, underwriting, clinical ops, finance ops, legal review, customer support — and the outcomes that matter.

  2. 02

    Map the sprawl

    Inventory of tools, contracts, capabilities, and overlap. We identify what stays, what consolidates, and what’s blocking AI adoption today.

  3. 03

    Quantify the value gap

    Specific, vertical-validated use cases ranked by value, time to ship, risk, and the cost of waiting.

  4. 04

    Run Buy / Build / Ignore

    Build vs. buy vs. extend. Vendor scoring against your weighted criteria, with TCO and ROI modeled across three-year horizons.

  5. 05

    Deliver the board pack

    The defense memo, implementation path, Kill List, vendor evidence, ROI model, and underlying data.

  6. 06

    Stand behind the decision

    We stay through demos, scoring, contract negotiation, and executive sign-off so the plan moves from board approval to operational execution.

06  /  Who this is for

Built for executives who need a defensible AI answer fast.

Built for

Leadership teams under AI pressure

  • Executives accountable for explaining AI spend to the board
  • Insurance, finance, legal services, healthcare, manufacturing, professional services
  • PE-backed operators evaluating stack consolidation or an AI mandate
  • CIOs, COOs, CTOs, and Heads of Strategy who need defensible answers fast
  • Teams whose AI experiments need ROI, governance, and a funding plan
07  /  Next step

For the cost of a single junior hire’s signing bonus, get a C-suite-ready AI infrastructure plan.

Most Vector engagements are scoped at $12K–$25K. Book a 30-minute scoping call and we’ll confirm the pressure point, outline the evidence pack, and send a fixed-scope proposal within 48 hours.

Book a Vector Review See the evidence pack
  • Fixed-price SOW
  • 21-day review
  • Board-ready defense
  • You own the data