Summary: Global AI Charter's AI Advisory — All-in-One is a coordinated advisory engagement covering AI readiness assessment, AI strategy, workflow transformation, workforce enablement, and AI governance. It moves organizations through six stages — Assess, Strategize, Transform, Enable, Govern, Scale — and is priced from ৳250,000 (about $2,000 internationally) for a defined engagement, with typical broader engagements running ৳250,000–৳1,000,000+ (about $2,000–$10,000+) depending on scope. It suits startups, SMEs, mid-market organizations and enterprises across sectors including financial services, healthcare, manufacturing, retail, education and telecommunications.
AI Advisory · Strategy · Transformation · Governance
AI adoption isn't one decision — it's a chain of them: where you stand today, where AI creates value, what to do first, how work and people should change, how risk gets managed, and how what works gets scaled. Global AI Charter brings these questions into one coordinated advisory engagement.
Organizational AI adoption
Most organizations approach AI through disconnected activity: one team experiments with ChatGPT, another buys a point tool, leadership drafts a strategy deck, IT evaluates vendors, HR considers training, and risk teams start thinking about governance — each moving on its own timeline.
Without coordination, that produces predictable outcomes:
Our All-in-One AI Advisory model connects these decisions into a single strategic framework, rather than treating each as a separate project.
We move organizations through the AI adoption lifecycle systematically — six stages, each producing a concrete output before the next begins.
We assess AI readiness, existing AI adoption, organizational capabilities, the technology environment, data readiness, workforce capability, existing workflows, governance maturity, AI-related risks, and strategic opportunities.
Output — a clear picture of your current position.
We identify and prioritize AI opportunities, business use cases, strategic priorities, investment areas, capability requirements, adoption priorities, build-vs-buy considerations, pilot opportunities, and areas to defer or avoid.
Output — a practical AI strategy and prioritized opportunity portfolio.
We examine priority workflows and identify where AI can assist, augment, automate, or coordinate — then design human-AI workflows with appropriate human involvement, approval points, verification, exception handling, quality controls, and accountability.
Output — practical workflow transformation priorities.
We develop capability across executives, managers, knowledge workers, business functions, technical teams, and AI champions — through AI literacy, role-based skills, prompting, AI-assisted workflows, verification, responsible AI, and team adoption programs.
Output — a workforce capable of adopting AI responsibly and effectively.
We help establish AI governance, policy, accountability, risk assessment, use-case approval, human oversight, vendor and model governance, an AI system inventory, monitoring, and incident response.
Output — governance structures and controls aligned with your organization.
We define scaling priorities, adoption milestones, capability development, governance integration, measurement, and operating-model considerations for continuous improvement.
Output — a practical path from experimentation to sustainable AI adoption.
Our All-in-One Advisory combines five capabilities. An organization can draw on all five, or a subset — the engagement is configurable.
Where do we stand, and where can AI create value?
What should we do first — and what comes next?
How should work change?
Are our people ready?
How do we adopt AI responsibly?
Five organizational layers, considered together rather than as isolated projects.
Not every AI idea deserves investment. We classify opportunities by strategic relevance, business value, feasibility, data and technology readiness, workforce readiness, complexity, risk, resources, time-to-value, and scalability — then sort them into four categories.
Strong strategic value and practical feasibility.
Promising, but capability or infrastructure needs development first.
Requires controlled testing before broader adoption.
Insufficient value, readiness, or acceptable risk today.
An illustrative roadmap across four horizons — actual sequencing depends on your organization's context.
Governance isn't something we add after implementation. For each significant use case, we work through nine questions.
AI adoption changes roles, decision processes, approval structures, and accountability. The right model depends on the use case and its risk.
AI transformation cannot succeed without adoption by the people doing the work. We connect strategy to role-specific enablement — delivered through executive briefings, workshops, role-based programs, or broader workforce transformation — across:
Exact deliverables are scoped to your organization. A typical All-in-One engagement can include:
Designed primarily for startups preparing to scale AI, SMEs beginning structured adoption, mid-market organizations, and enterprises — across sectors including:
It's particularly relevant when leadership wants one coordinated view of AI strategy, adoption, workforce, and governance — rather than four separate initiatives moving at different speeds.
If you only need one specific capability, our individual services may be a better fit than the All-in-One engagement.
AI Advisory — All-in-One, starting from
৳250,000 · from $2,000 international
A starting price for a defined advisory engagement — not unlimited consulting.
Typical broader engagement
৳250,000–৳1,000,000+ · roughly $2,000–$10,000+
Scope depends on organization size, number of functions, geographic scope, assessment depth, number of workflows, training requirements, governance scope, number of stakeholders, implementation support, and duration.
Enterprise
Custom scope
For organization-wide or multi-function transformation programs.
Scoped separately, on top of the core engagement:
Where implementation is required, it's scoped separately.
No. The four core services are specialized engagements on their own. AI Advisory — All-in-One is an integrated model where those capabilities are coordinated around one organization's overall AI adoption journey.
No. The engagement is configurable — an organization may need deep strategy and governance work but only limited workforce training, for example.
Yes. Scope is significantly lighter for startups and SMEs — the goal is not to impose enterprise-level governance or process where it isn't needed.
Yes — multi-function work is one of the primary reasons organizations choose the All-in-One model.
The core engagement is advisory. Implementation support, workflow pilots, or technology-related work can be scoped separately where appropriate.
No. We help organizations understand governance considerations and build internal frameworks, but this doesn't constitute legal advice or regulatory certification.
Yes. Ongoing advisory, quarterly reviews, adoption monitoring, and governance support can be structured as a separate continuing engagement.
AI adoption requires more than knowing which tool is popular this quarter. It requires understanding strategy — where AI creates value; operations — how work should change; people — how capability must evolve; technology — what systems and infrastructure are required; and governance — how AI can be adopted responsibly. Our approach brings these five perspectives together into one coordinated advisory framework.
You don't need another collection of disconnected AI experiments. You need a clear understanding of where you are, where AI can create value, what to do next, and how to scale responsibly.
