Better Support.
Faster Answers.
Happier Customers.
Structured, scalable, AI-ready support systems for growing businesses.
I’m Sam Davison, founder of OPCX Solutions.
I help growing businesses build and improve structured support operations that can scale with the business and deliver a better customer experience.
This includes support and service design, workflow optimisation, knowledge and automation structures, support platform implementation, AI readiness and fractional support leadership.
Using the 6 Layers of Support Maturity framework and the Service Process Optimisation Framework, I help businesses strengthen the operational foundations behind customer support so teams can work more consistently, reduce customer effort and scale with confidence.
The 6 Layers of Support Maturity
Each layer builds on the one below. Without the foundations in place the next layer will break.
Read the full layer breakdown
01 – Context Framing
What Broken Looks Like
- Mixed enquiries in one inbox
- Agents triage blind
- Misrouting is common
- First replies miss the point
What To Do
- Capture the right info at intake (form/chat/flow) so every ticket arrives with context
- Knowing the full context simplifies the routing and reduces triage efforts
02 – Route and Automate
What Broken Looks Like
- Tickets hit the wrong agent
- High-volume queries are handled manually, every time
What To Do
- Tune routing and automate repeatables; right query, right queue, first time
03 – Escalations Path
What Broken Looks Like
- Tickets bounce between agents
- Customers repeat themselves
- Resolution drags on
What To Do
- Defined responsibilities and escalation paths
- Set SLA's and automated escalation rules
04 – Knowledge Capture
What Broken Looks Like
- Topics keep escalating because nobody writes the answers down
- Agents type the same replies again and again
What To Do
- Give top agents ownership of writing/moderating KB articles for recurring escalations
05 – Knowledge Governance
What Broken Looks Like
- The KB exists, but nobody uses it (agents, customers, AI)
- Answers are hard to find or out of date
What To Do
- Assign KB ownership for curation, tagging, and structure so it's findable and trusted
06 – AI Enhancements
What Broken Looks Like
- AI goes live and does not answer questions - everything still gets transferred to an agent
- CSAT is dropping because of a bad chatbot experience
- AI gets blamed because there is no reliable knowledge source
What To Do
- Connect the AI to the same knowledge base used by your agents
- The articles written by your agents enhance the AI
AI is the reward for getting the foundations right. With solid foundations AI can enhance support and save you time. You can read the full explanation of the 6 Layers of Support Maturity in the Insights section.
AI is the reward for getting the foundations right. With solid foundations AI can enhance support and save you time.
Not sure which layer is holding you back? Take the quick maturity check.
Check Maturity →Support & Service maturity looks different at every stage
Every team is at a different stage of support & service maturity. The systems, workflows and improvements you need to prioritise depend on where you are today, not where you want to be.
Some businesses need clearer workflows and ownership. Others need repeatable knowledge, automation and self-service. More mature teams often focus on scalability, customer effort reduction and AI enablement.
The key is identifying the improvements that create the biggest operational and customer impact at the right time.
Early‑Stage
Foundations & flow
Growing
Efficiency & repeatability
Established
Scale & AI enablement
How I improve Support & Service Operations
Improving efficiency, reducing demand, and build repeatable support & service workflows.
Understand the current operation
Assess workflows, support maturity and operational gaps to identify areas that need attention.
Simplify and stengthen the foundations
Reduce unnecessary complexity, improve consistency and create scalable operational structures.
Introduce automation and self-service
Automate repeatable workflows and reduce avoidable demand where it improves the experience.
Apply AI where it adds value
Enhance mature workflows with AI only when the foundations, knowledge and processes are ready.
Simplifying service workflows before scaling them
Many support problems are created long before a ticket reaches the support team. Manual workflows, unclear ownership, fragmented systems and unnecessary customer effort often increase operational pressure and create avoidable support demand. The Service Process Optimisation Framework focuses on simplifying and improving customer-facing workflows before introducing automation or AI. This includes journeys such as sales, logistics, repairs, returns, onboarding, licence requests, self-service and other repeatable processes where reducing effort and improving flow creates better outcomes for both customers and teams.
Service Process Optimisation Framework
- 01
Map
Understand the current workflow, journey, systems, handoffs and outcomes.
- 02
Analyse
Find unnecessary steps, delays, manual effort and avoidable customer contact.
- 03
Simplify
Reduce complexity, improve flow and remove unnecessary manual steps.
- 04
Automate
Introduce structured automation and self-service where it improves consistency and scalability.
- 05
Enhance
Apply AI selectively where it improves guidance, efficiency or customer experience.
- 06
Learn
Validate changes through testing and real-world usage and refine the workflow.
- 07
Scale
Roll out successful improvements more broadly to maximise operational impact.
Better Support. Faster Answers.
Happier Customers.
Start delighting your customers by delivering effortless Support