isospinsAI Readiness Assessments
Review business goals, data, systems, skills, and operating constraints. Identify what is ready for a prototype and which dependencies need attention first.
AI Strategy Consulting
A practical AI roadmap.
A clearer next step.
Decide where AI belongs in your organization and what to do first. Connect readiness, use-case prioritization, technology choices, change management, and training in a practical adoption roadmap, including agentic AI opportunities where actions and responsibilities can be clearly defined.
What we offer
Specialist capabilities.
A practical focus.
Scope the right combination of capabilities for your organization, data, and intended outcome.
Strategic Roadmap Development
Translate priorities into phased work with owners, dependencies, and investment assumptions. Set decision points so evidence from early projects can reshape later commitments.
Use Case Identification & Prioritization
Compare opportunities by business value, feasibility, information access, and decision consequences. Turn broad ideas into specific workflows with measurable acceptance criteria.
Change Management & Training
Prepare teams for new tools and responsibilities through role-specific exercises. Define review, escalation, feedback, and ownership within the workflow people will actually use.
Business & Technology Alignment
Connect business sponsors, domain specialists, and engineering teams around a shared problem statement. Resolve integration and operating questions before committing to a solution.
Long-Term Innovation Planning
Create a repeatable process for reviewing new capabilities and retiring weak experiments. Keep the roadmap responsive to evidence, changing needs, and the cost of operation.
Current developments · 2026
What is changing.
What to plan for.
Research reviewed October 27, 2026. Recent standards, research, and platform developments connected to practical project decisions.
Match the AI investment to the operating responsibility.
Microsoft's October 2026 adoption guidance distinguishes employee assistance, workflow automation, and custom AI platforms. It connects the choice to business value, customization needs, operational ownership, shared governance, and workforce training.
What this means for your project
Prioritize use cases with a named business owner, an evaluation baseline, investment assumptions, and a plan for adoption. Compare an existing tool, a configured service, and a custom build before committing to implementation.
Primary sources
- AI adoption — Microsoft Cloud Adoption Framework Oct 15, 2026
Plan for an evolving agent standards landscape.
NIST's 2026 AI Agent Standards Initiative focuses on interoperability, open protocols, security, and agent identity research. This is an active standards effort, with voluntary guidance and technical work still developing.
What this means for your project
Document who owns each agent, which systems and actions it may access, and how changes will be reviewed. Keep protocol and governance assumptions visible in the roadmap so the architecture can adapt.
Primary sources
- AI Agent Standards Initiative — NIST Aug 14, 2026
Source dates indicate publication or last update. Drafts, regional examples, and product announcements are identified in context. The project implications are Isospins’ recommendations for scoping an engagement.
A practical starting point
One focused project.
Evidence for the next step.
An illustrative engagement to shape around your organization, systems, and priorities.
Discuss a first projectPrioritize a portfolio, then test one use case
Bring a small set of business problems to a working session. Compare value and readiness, select one feasible experiment, and agree what evidence would justify the next phase.
- What we need to begin
- Business priorities, workflow owners, system constraints, available data, and investment assumptions.
- What to evaluate
- A named owner, a measurable baseline, a feasible data path, and explicit proceed, revise, or stop criteria.
- What to take forward
- A prioritized opportunity map, pilot brief, phased roadmap, and team adoption plan.
From opportunity to implementation
Technology shaped
around your business.
Decide where AI belongs in your organization and what to do first. Connect readiness, use-case prioritization, technology choices, change management, and training in a practical adoption roadmap, including agentic AI opportunities where actions and responsibilities can be clearly defined.
Define the use case, relevant industry context, integrations, evaluation criteria, and operating responsibilities before implementation. Our consulting work connects strategy, engineering, adoption, and handover.
Find your industryA defined engagement
What the work can include
- AI readiness and capability assessment
- Prioritized use-case portfolio and evaluation criteria
- Phased roadmap with ownership and investment assumptions
- Change-management, training, and review plan
Before we begin
Better questions.
A stronger brief.
Bring these questions to the first conversation. We can work through the unknowns together.
Start a conversation- 01
Which business outcome and baseline will determine whether an AI investment is useful?
- 02
What people, data, governance, and integration gaps must be addressed before the first release?
- 03
Who will own adoption, professional review where needed, recurring costs, and decisions about expanding or stopping the work?
Let's build something useful
Big idea. Complex challenge.
Let's find your next step.
Start a conversation about your application, AI opportunity, or cloud environment.