Start the fit check Support systems for SaaS teams, before and after launch
Build support before it becomes a bottleneck.
I design and improve the system beneath customer support: help centers, knowledge bases, workflows, escalation, reporting, automation, and carefully controlled bots. Your team leaves with a system it owns.
Projects start at $2,500 · Final price depends on scope · One active build at a time
One client at a timeYour lead consultant
Anne Onyejemuo
Eight years inside support queues and the systems behind them, across SaaS, fintech, media, and developer-facing products.
When to build
Start with the support system your current stage needs.
A pre-launch foundation and a live-operation rebuild solve different problems. The scope should reflect that difference.
You are preparing to launch
Build the knowledge base, help center, support inbox, automations, and customer-facing bot before the first wave of questions arrives.
Early support is becoming repetitive
Turn recurring answers, founder knowledge, and improvised processes into reliable self-service and team workflows.
The operation no longer scales
Rebuild routing, ownership, reporting, documentation, and automation when the existing tools stop working as one system.
Documented operating result
Proof from the work, with the estimate labelled.
Media and publishing platform · Technical Support Specialist · 2018–2021
26.4%increase in customer satisfaction
$20k–$35kestimated annual training and onboarding savings
Work completed
- Managed the Zendesk queue and support operations.
- Configured automations and macros.
- Built FAQs and knowledge-base articles.
- Onboarded and trained incoming junior support staff.
The savings figure is an estimate. It is not presented as audited client revenue or guaranteed future value.
The engagement
Scope. Implement. Launch.
The timeline and depth follow the approved deliverables. Every engagement ends with a system the team can operate without consultant dependence.
01Define
Scope
Confirm the stage, support goals, current tools, launch or operating risks, and the exact deliverables. The output is a written plan, timeline, and quote.
02Build
Implement
Create or improve the agreed help center, knowledge, workflows, reporting, automations, and bots with clear testing and review.
03Handoff
Launch
Test the system, train its owners, resolve the agreed revisions, and deliver the documentation needed to operate and improve it.
Bounded scope
Enough depth to change the operation. Clear limits to protect it.
A scoped engagement can include
- One helpdesk platform
- Help center setup or restructure
- Knowledge-base strategy and article writing
- Priority workflows, routing, and automations
- Customer-facing bot setup and grounding
- SOPs, playbooks, and escalation paths
- Reporting, testing, training, and handoff
- Agreed revision rounds and ownership guide
Not included
- Daily ticket handling or 24/7 queue coverage
- Custom application or backend engineering
- Migration of more than 5,000 historical tickets
- Ongoing content production after handoff
- Software subscriptions and third-party fees
- Work outside the written implementation plan
Final quantities and system boundaries are confirmed in writing before the first milestone.
AI without unmanaged risk
Automation earns access. It does not inherit it.
AI is treated as an operational component that must be scoped, tested, supervised, and reversible.
Minimum access
Only the permissions and customer data required for the agreed workflow are used.
Grounded outputs
AI drafts use approved product knowledge and defined response rules, not unrestricted generation.
Human review
High-risk, sensitive, billing, security, and escalation responses remain under human control.
Test before release
Workflows are evaluated against real scenarios, edge cases, and clear pass or fail criteria.
Fallback and rollback
Every live automation has a documented manual route and a way to disable it cleanly.
Selected work
Systems, documentation, and helpdesk operations.
Representative samples are reviewed during the fit process where client permissions and confidentiality terms allow.
Support operations
Support Operations Hub
A structured Notion workspace for support workflows, ownership, internal knowledge, and team consistency.
View work sampleHelpdesk systems
Zendesk Support Operations Audit
A full review framework for triggers, macros, views, tags, SLAs, routing logic, and operational gaps.
View work sampleTechnical documentation
Campaign Creation and Sending Guide
Customer-facing product documentation that turns a multistep campaign workflow into clear, actionable guidance.
View work sampleDelivery model
You hire the person shown here.
Anne leads the audit, configuration, documentation, training, and handoff. Her background covers technical support, REST APIs, webhooks, OAuth, frontend troubleshooting, Zendesk, Intercom, Help Scout, Notion, Jira, n8n, Zapier, and Make.
If the approved plan requires production backend or AI engineering, a technical specialist is introduced before work begins. That work is never silently added to the engagement.
Investment
A right-sized build with a defined finish line.
Every project is quoted against the work required. A focused pre-launch foundation should not cost the same as a full operational rebuild.
Best fit
- A pre-launch SaaS team preparing customer support
- A live product with recurring support patterns
- A founder or team lead carrying too much support knowledge
- An internal owner prepared to review and adopt the system
Scoped support systems
$2,500+
Starting price · Scope-based quote · Milestone billed where appropriate
- Pre-launch: knowledge base, help center, workflows, automations, and bots
- Post-launch: audit, rebuild, reporting, escalation, and self-service
- Controlled automation with testing and human review
- Documented scope, timeline, training, and handoff
Three minutes. No contact details required to see your result.
Practical questions
Know what you are buying.
Who is this engagement designed for?
Pre-launch and growing SaaS teams that need a support foundation, clearer self-service, better workflows, or an existing helpdesk rebuilt for the next stage.
What happens before the project starts?
The fit form confirms your company stage, tools, support needs, desired outcome, readiness, and budget range. If the project fits, discovery is used to define the deliverables, timeline, milestones, and final quote.
Do we need to use AI?
No. Automation is added only where it removes proven repetitive work without weakening control. A better workflow, macro, or document may be the correct solution.
How is customer data handled?
Access is limited to what the approved scope requires. Data handling, permissions, review rules, and shutdown procedures are documented before any AI workflow goes live.
What happens after delivery?
Your team owns the configured system and its documentation. Optional maintenance is available for teams that want periodic workflow tuning, bot review, and documentation updates.
Who completes the work?
Anne leads the audit, implementation, documentation, training, and handoff. If production engineering is needed, a technical specialist is introduced under a separate written scope and price.
One active build at a time