AI will not take a pause, and neither can organizations. Rapid advances in AI require the development of a repeatable, ongoing and adaptive AI strategy. Our method of experimenting, learning and applying human psychology and empathy enables us to deliver pragmatic and responsible AI innovation and transformative experiences.
As AI’s power and reach accelerate from automation to creation, we provide up-to-date best practices and designs for developing guardrails, policies and governance, as well as AI operating (AIOps) models. AIOps models address issues of ethics, trust, transparency, explainability, fairness, non-bias, data/model/provenance, privacy, security, regulations, intellectual property and more. We also bring a set of design templates for AI Centers of Excellence.
We help you envision, plan for, and accelerate your responsible AI journey for the good of all stakeholders through our portfolio of advisory services, including:
Our experienced multi-disciplinary consulting teams leverage Techvedic’s Responsible Use of AI methodology and consulting framework to help you crystallize your ambitions and guiding principles, potential risks and mitigations, and the required technical, operational and governance foundations.
Depending on where your organization is on your AI journey, we assess existing strategies, architectures and operations and develop recommendations. Such engagements typically follow 3 phases over a 6-12-week period:
Our strategy development approach involves a mix of online surveys and questionnaires, interviews and, most importantly, in-person or virtual collaborative workshops. We leverage templates and tools to determine your vision, and then develop a tactical approach to implement best practices. We focus on targeted AI use cases to ensure a quick return on your investment by identifying opportunities for improved outcomes through AI solutions.
While a maturity assessment is an integral part of our larger AI strategy development approach, it is also offered as a stand-alone service. The assessment provides a realistic baseline of where you are and serves as a holistic and inclusive beginning to build an AI-powered organization.
Using over 150 detailed capability statements, we assess an organization’s current state across three dimensions (direction, operating models, execution) and a cross-cutting range of “AI Golden Threads.” These threads include: organizational purpose, ambition, stakeholder alignment, data management and flow, data-to-insights, insights-to-decisions, decisions-to-automated-actions, generative content creation and intellectual property, guardrails and ethics, policies and governance, privacy and security, fairness, transparency and explainability, sustainability, regulation and compliance, shared value focus, technology and platforms, as well as agile mindset and practices.
Our digital business agility and strategic alignment platform manages the design, distribution, collection and analysis of the maturity assessment. The platform also provides access for clients to explore the findings in visual charts and interactive tools across capabilities, threads and dimensions.
These services are designed with three objectives:
Our four design and build offerings may be bundled and sequenced together or delivered as a stand-alone service:
This is a 1-3-week rapid enterprise scan to identify opportunities, looking at both decisioning / automation as well as generative content creation. The collaborative engagement is centered around a day-long discovery workshop to look at your organization’s…
The output is a priority-mapped inventory of AI opportunities (value vs. level of effort vs. risk).
This 1-3-week sprint centers around a design workshop to explore 1-3 possible AI use cases. It is facilitated by a multi-disciplinary team of AI, business, process and industry domain experts, and decision and data scientists. Using Techvedic’s Value in Motion framework, we evaluate your AI value chain, including:
Once a promising new AI use case has been evaluated, this 4-6-week agile sprint develops a proof of value (POV) or minimum viable product (MVP) solution. The approach includes:
After a successful POV or MVP, we use our proven agile development methods to help you rapidly build, within 8-16 weeks, and scale your AI solution. Using Techvedic and/or partner platforms, accelerators and multidisciplinary, skilled resources, your organization can quickly go from MVPs to enterprise-scale production. Key aspects include:
For ongoing AI operations and improvements, we offer the following:
While much attention on artificial intelligence (AI) has been focused on the commercial sector, AI and the public sector is a perfect fit. In fact, there are many use cases already for using AI to digitalize government services, including improving water quality for communities to helping answer constituent and health worker questions.