How does this skill differ from asking a standard AI for business advice?

The Architect specializes in turning raw internal data into actionable trade-off matrices. Unlike general assistants that offer generic advice, this skill enforces strict grounding in your actual margins, churn rates, and resource constraints to prevent 'hallucinated' growth projections.

What exactly is included with my purchase of this skill?

You will receive the core logic engine for the Business Strategy Decision Architect, a guide on preparing your data for the best results, and a set of templates for the execution roadmaps it generates.

Can I use my own company’s financial and customer data with this skill?

Yes, it is designed to work with standard data exports (CSV or PDF) from CRM, ERP, and financial software. Simply upload your performance metrics during the Evidence Audit phase to ground the strategy in your real-world numbers.

Does the Decision Architect pull its own real-time market and competitor data?

No, this skill is focused on internal strategic logic. While it can analyze market reports you provide, it does not browse the live web for real-time competitor pricing or stock market fluctuations.

How long does it take to set up and get my first strategic roadmap?

Setup is near-instant; once you add the skill to your compatible AI agent, you can start the framing process immediately. We recommend having your most recent quarterly P&L or customer acquisition reports ready to get the most value from your first session.

How are updates handled if the underlying business frameworks or AI models change?

Updates are included and are pushed automatically through the marketplace. These updates typically include refinements to the risk modeling logic and improved compatibility with new enterprise data formats.

Business Strategy & Decision Architect Pro

Example session with this skill installed

We are a B2B SaaS startup with 12 months runway. $50k MRR, 5% monthly churn. Decision: invest in a new enterprise feature set or double down on our current SMB self-serve channel to hit break-even.

Read your context and instructions
Compiled the business strategy

I have analyzed your current runway and churn metrics against the two proposed paths. While the Enterprise shift offers higher ACV, the SMB channel presents a faster path to break-even given your limited cash runway.

Business Strategy Decision Brief

1. Decision to Make

Decision: Choose between Enterprise feature development or SMB channel optimization.
Objective: Reach cash flow break-even within 10 months.
Constraints: $600k total runway ($50k/mo burn), 12-month horizon.

2. Evidence & Current-State Diagnosis

Fact: Current MRR is $50k with a high 5% monthly churn.
Driver: High churn suggests a product-market fit gap or friction in the self-serve onboarding.
Constraint: You have ~12 months to reach break-even before requiring new capital.
Assumption: Enterprise sales cycle is estimated at 6+ months; SMB optimization can show results in <60 days.

3. Strategic Options

Option	Strategic Thesis	Expected Benefit	Risk / Trade-off
A: SMB Optimization	Fix onboarding/retention to lower churn and scale current channel.	Fastest path to incremental MRR; low dev cost.	High volume needed; CAC must stay low.
B: Enterprise Pivot	Move upmarket for higher ACV and multi-year contracts.	High LTV; lower churn potential.	Long sales cycles may exhaust runway before close.

4. Comparison & Recommendation

Recommendation: Option A (SMB Optimization).
The primary bottleneck is the 5% churn. Pivoting to Enterprise now introduces a long sales cycle risk that misaligns with your 12-month runway. Fixing the core engine is the lower-risk path to break-even.

5. Execution Roadmap (Phase 1: 0-30 Days)

Churn Audit: Conduct 20 exit interviews to identify specific friction points (Product/Success).
Onboarding Sprint: Implement a high-touch trial concierge for top 20% of leads (Sales/Ops).
Metric Baseline: Establish granular week-1 retention targets (Data).

Next steps

Export your last 3 months of churn data to identify the primary "drop-off" point in the funnel.
Confirm if the current engineering team has the capacity for the proposed "Onboarding Sprint."
Set a "Go/No-Go" date 60 days out: if churn does not drop below 4%, re-evaluate the Enterprise pivot.

Connects securely to your tools. The creator never sees your data.

About this skill

Vague business goals often lead to stalled execution or wasted capital. This skill transforms raw company data and constraints into rigorous strategic options and a phased execution roadmap.

What it does

Decision framing reframes broad objectives into specific, actionable decision statements with clear horizons.
Evidence audit separates verified facts from assumptions while identifying critical data gaps in your current performance metrics.
Option generation develops distinct strategic paths, each with a thesis, resource requirements, and specific trade-offs.
Risk modeling creates qualitative or quantitative scenarios to identify early warning signals and mitigation triggers.
Execution mapping builds a prioritized roadmap including dependencies, success metrics, and decision gates for stop/continue points.

How it works

Supply your current business data, including revenue trends, margins, and customer acquisition costs.
Define the core decision you are facing and your primary constraints like budget or team capacity.
Review the generated strategic options and the comparison matrix to select a recommended path.
Use the provided execution roadmap and KPI scorecard to track implementation and validate assumptions.

Frameworks & tools

This skill utilizes standard business analysis frameworks including SWOT, decision matrices, and scenario planning. It integrates with any data source you provide, such as exports from CRM, ERP, or financial software.

Why this beats prompting it yourself

Generic prompts often return motivational fluff or fabricated market data. This skill enforces strict grounding in your actual numbers and explicitly flags assumptions, preventing the hallucination of metrics or unrealistic forecasts.

Use cases

Comparing a market expansion versus deepening penetration in an existing segment.
Evaluating a pricing model change based on current churn and acquisition costs.
Prioritizing product features when engineering capacity and cash runway are tight.
Building a 90-day execution plan for a newly approved strategic pivot.

Known limitations

Does not provide regulated legal, tax, or investment advice. It cannot access real-time external market data unless you provide the specific reports or sources.

How to use

Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.

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Business Strategy & Decision Architect Pro