AI Plan
Shiker AI Services are focused on value added interactions with end customers to invigorate business processes such as lead generation, sales training, end user onboarding and customer success.
Our AI services stem from a deep understanding of business processes, emphasizing the use of technology to drive real business value rather than following the latest AI trends
AI Plan Overview
The advent of AI, particularly Generative AI, has the potential of revolutionising industries and offering vast opportunities for businesses to redefine their end to end operations.
We will help you separate the wheat from the chaff and help identify the right use cases which will be genuinely beneficial to your organisation. We help drive your revenue, profit, and customer success through responsible AI use case identification and implementation.
Generative AI is a game changer, and is knocking on the door of every Tech and Business leader.
AI Consulting
Current process and gaps
Assess the effectiveness, efficiency, and customer experience of processes. Identify gaps compared to best practices and management.
AI market developments
AI market, both Gen and traditional ML is fast moving, we work with the customer to understand the latest developments
Fit gap analysis
Using an AI use case scorecard, find the right solution to the address the gaps
Solution workshop
AI use case workshops to identify and prioritize a list of use cases, based on fit-gap analysis, industry-specific developments, and competitive landscape
Timelines & Charges
~ 8-10 weeks – £25-40K
depending on the scope of analysis required
AI Development
We partner with niche vendors who specialize in customizing existing technology to build modular solutions that address specific business process challenges.
These vendors develop targeted proof-of-concept (POC) and production-ready tools tailored to areas such as lead generation, customer nurturing, customer success, and sales support.
Our approach typically begins with a POC phase, and once its success is demonstrated, we proceed with configuring the solution for the production environment. During this stage, security and data protection are prioritized to ensure a robust and safeguarded setup.
Timelines & Charges
Run rate of about £6-7K a week per AI pod
AI PLAN
Typical Challenges Facing Companies / Business Areas
Revenue
Lead generation in an increasingly digitised world is difficult and expensive.
Challenges in targeted lead nurture and Business Development.
Sales conversion as a KPI is poor in most businesses.
Customer Success
Product adoption so that the customer is using your product actively, create barriers for exit.
Develop existing business by Upsell/Cross sell at low cost.
Profitability
Effectiveness of:
– Marketing & Sales
– Customer Service
– Product Development
Efficiency of:
– Finance & HR
– IT
Plethora of applications which have been procured, and produce their own data.
End to End Processes
The Shiker AI Approach – How can Gen AI drive business value within each stage?
AI PLAN
CXO CONSULTING SERVICES
Value Unlocking
- We work with key stakeholders to assess their business processes and identify areas of business with maximum potential to gain efficiencies using AI and generative AI.
- We build a strategic roadmap of use cases with surgical precision to help unlock the value trapped in existing business processes.
- Our capabilities in this area include Lead to Cash to Customer Success & Hire to Retire
Value Creation
- We work with key stakeholders to help them develop, articulate, and implement strategies to transform, scale, or launch products.
- We focus on building highly differentiated AI solutions.
- Our capabilities in this area include operating model redesign, new product development, partnering for greenfield product development.
Tech Advisory
- We work with our clients to assess the maturity of their data and enterprise tech stack for an effective AI implementation.
- We build business cases on insourcing Vs outsourcing of AI tech and deliver either through our partners & provide program management services.
Responsible AI
- We provide a framework for responsible AI with the proper guardrails and practices to ensure accountability, transparency, fairness & inclusiveness in the AI output.
- We do so by ensuring the proper ethics in algorithms, data, and practice.
AI PLAN
Our Analysis Framework
Week 1 – 3
Strategy
– Understand business strategy
– Key business challenges
– Business and Market priorities
Process
– Detailed end-to-end process analysis
Tech and People
– Enterprise application landscape review
– Application ‘value’ analysis
– Tech maturity and skills review
Data
– Data architecture review
– Availability
– Structure
– Quality
– Data usage maturity assessment
– Data science maturity and tech skills
Week 4
– Analysis workshop with stakeholder to understand challenges and align to business strategy.
Week 5 – 8
Solutioning
External best practice
– Tools best practice for business areas i.e. Marketing
– Typical AI use cases
– Latest developments in AI world
Week 9 – 10
– Solutioning workshop leading to prioritisation and Roadmap
– Socialise and produce final implementation roadmap with chosen AI pilot use cases
Case Study
Overview:
Generating value for an educational powerhouse – We were asked to consult on which areas the company should focus on to drive value for customers and shareholders.
We used our analysis framework above and within weeks were able to present a structured plan to the board. As a result of our work, several Pilots were initiated in the areas of parent engagement, creative marketing and student performance.
Working
20 working days
Elapsed Time
8 weeks
Team Members
1 full time, 2 part time
Net Result
Clear prioritized roadmap of AI projects
