AI for web agencies
I build and integrate AI use cases into your tools, then train your teams. For your clients, I deliver white-label projects, within a scope we agree together.
01 — Two uses
Your web agency doesn't need an AI department. It needs the right skills, at the right time.
Internal production
White label
02 — Background
I spent nearly eight years inside a web agency, after many years as a freelance developer.
I know the constraints of your business: production deadlines, client budgets, projects piling up, technologies to maintain, teams that have to keep moving while the tools change.
There I built custom WordPress sites and acted as the agency's AI lead, supporting upskilling and the trialling of new tools.
03 — Engagement
The core of my work
Business assistants, process automation, AI agents, QA tools, document processing, RAG chatbots…
I design and integrate solutions that fit your technical constraints, with a defined scope, acceptance criteria and maintenance terms.
If needed, before
Focused assessment (half a day to a day): use cases prioritised by value, feasibility and cost. Not a list of 50 theoretical ideas.
In-depth scoping (up to three days): workshops with your teams, a mock-up of the priority case, a firm quote for delivery. Optional if your need is already scoped.
An ongoing partnership
Two days a month on the agreed priorities: tool choices, training, usage follow-up and targeted improvements.
New projects and maintenance are scoped separately.
04 — The real question
Your developers already know how to use AI assistants. What I bring is dedicated build time: I connect your tools, write the tests and validation steps, document and support adoption.
For your clients, I can take on a build within the framework set with your agency.
Under the hoodHybrid RAGAgents & MCPMemoryRegression testsObservabilityHuman review
Want to see what I'm building? The lab is on the home page →
05 — To start
Chosen because agency leadership grasps them quickly, their results can be measured, and they answer problems lived in production. Not delivered products yet: tracks to build with a pilot agency.
In preparation
A transcript becomes minutes, decisions and tickets ready to assign.
In preparation
From the specification to a reasoned estimate, approved by your teams.
In preparation
Scenarios, environment comparison and regression after updates.
Not a chatbot for every role. And no AI where classic automation does better.
We measure a before / after, never a generic gain.
06 — By role
Pick a role: three use cases and what can be built.
Development, QA, maintenance and technical automation.
Sales, project management, admin and leadership.
SEO/GEO, content, communication and reporting.
IFQP Partner, across every role: outsourced AI lead, team training and white-label projects.
IFQP Management · Goal : Profitability, steering and decisions.
Cross-checking quotes, time spent and invoicing.
Signed projects, pending quotes, availability.
Approved tools, shareable data, validation rules.
IFQP deliverable : Steering cockpit or strategic AI assessment, depending on data quality.
IFQP Production · Goal : Technical quality and less debt.
Risks flagged and tests suggested before human approval.
Generated and maintained from your Git repos.
Decisions, configurations, past incidents.
IFQP deliverable : Technical assistant connected to Git repos, CI and internal docs.
IFQP Management · Goal : Less time spent on proposals.
Project type and missing information.
Requirements, constraints, uncertain areas.
Based on your past projects, validated by sales and tech.
IFQP deliverable : Qualification and proposal workflow, connected to your CRM where possible.
IFQP Management · Goal : Less admin, more reliable tracking.
Minutes, decisions and assignable actions.
Structured requirements and acceptance criteria.
Compared against the quote and approved specs.
IFQP deliverable : Project management assistant built into your tools (Jira, Trello, ClickUp…).
IFQP Visibility · Goal : Faster creative prep, without replacing art direction.
Sizes and formats for social, banners, campaigns.
Consistency of components, colours, typography.
Instead of placeholder text.
IFQP deliverable : Assisted design production chain or automated design system checks.
IFQP Production · Goal : Less repetition, more reliable rendering.
Part of the WCAG checks automated.
Regressions between mock-up and build.
Components and user journeys.
IFQP deliverable : Assisted dev environment and agency-specific quality rules.
IFQP Production · Goal : More reliable business code.
PHP logs and traces analysed, fix hypotheses.
Risk areas before a PHP, CMS or module update.
To take over another provider's project.
IFQP deliverable : Dev and maintenance tooling specialised in your stack.
IFQP Visibility · Goal : Automate collection, analysis and prioritisation.
Crawl, Search Console and Analytics combined.
Mentions in AI engines, via a test protocol.
Data and methodological limits explained.
IFQP deliverable : SEO/GEO audit and reporting pipeline.
IFQP Visibility · Goal : Produce faster while keeping editorial control.
From a brief, identified sources and your style guide.
Website, newsletter, social media.
Drafts prepared directly in WordPress.
IFQP deliverable : Assisted editorial chain, with human approval before publishing.
IFQP Production · Goal : Fewer bugs shipped.
Test scenarios generated from the specs.
Differences in rendering, content or behaviour.
Re-run after a plugin update.
IFQP deliverable : Automated test bench, can run in GitHub Actions.
IFQP Production · Goal : Handle incidents faster and build on past fixes.
By product, urgency and issue type.
Similar tickets and fixes already applied.
Monthly summary of interventions and recurrences.
IFQP deliverable : Assisted support and searchable knowledge base.
IFQP Management · Goal : Less re-keying and manual checks.
Data extracted from invoices and quotes.
Services and logged time reconciled.
Overdue invoices spotted, reminders prepared.
IFQP deliverable : Admin automations with validation of sensitive data.
IFQP Visibility · Goal : Showcase your expertise and prospect.
A finished project becomes a publishable case study.
One article turned into LinkedIn posts and a newsletter.
The right past work for your proposals.
IFQP deliverable : Communication workflow fed by your own projects.
IFQP Management · Goal : Pass on know-how and upskill teams.
Procedures, tools and conventions for newcomers.
Each role's use cases, not generic training.
Proven automations, documented.
IFQP deliverable : Role-based training programme and internal knowledge base.
Role 6/14 · Leadership
07 — Example
Information and decisions follow the project end to end. Human approval at every binding step.
08 — Framework
09 — Trust
10 — Questions
It can happen, with strict separation: nothing one agency shares with me (clients, code, methods, data) ever reaches another. This commitment is written into the contract, and an NDA can be signed on request.
No. If your need is already scoped, we go straight to a fixed-price project. The assessment helps when you don't yet know where to start.
I give you a subcontracting quote, you set your client price. You keep the relationship and project management; I work within the written framework agreed with your agency.
Your team, with documentation and a handover, or me, under a separate maintenance scope.
Before the project we define which data may be used, where it flows and who approves. Anonymised data if needed.
It's to help you produce better, save time where it can be demonstrated, and develop new revenue streams. Let's talk about your agency and what we could build together.