Logo Tarek NachnouchiTAREK NACHNOUCHI
·Tarek Nachnouchi

How an Independent Recruitment Firm Can Triple Its Sourcing with Notion AI, Make, and LinkedIn

Independent recruiters spend 12 hours a week on repetitive tasks. Here's how to automate candidate sourcing, pipeline tracking, and follow-ups with three connected tools in one day.

An independent recruitment firm spends an average of 12 hours per week on repetitive tasks: sorting LinkedIn profiles, updating candidate pipelines, sending follow-ups. That's time stolen from what actually creates value — interviews and client relationships. With three well-connected tools, this workload drops below 2 hours.

Sophie's Story: Independent Recruiter in Bordeaux

Sophie runs a solo firm specializing in tech profiles. She places 8-12 candidates per quarter for SMBs and scale-ups in Aquitaine. In April 2026, she connected Notion AI, Make.com, and LinkedIn into a coherent system. Results after six weeks: sourcing time per role cut from 4h to 1.5h, candidates contacted per week up 190%, and quarterly placements up from 8 to 14.

The Three-Layer System

Layer 1 — Notion as candidate CRM: A database with Name, Target Role, Company, LinkedIn URL, Status, Last Contact Date, and Associated Opening. Notion AI summarizes interview notes in three bullet points automatically.

Layer 2 — Make.com as orchestrator: Monitors your Notion database hourly. When a candidate has been in "Contacted" status for 5+ days without a response, it triggers a personalized follow-up email using GPT-4 to generate two personalized sentences.

Layer 3 — LinkedIn as data source: Export weekly LinkedIn search results as CSV, import them into Notion via Make.com with automatic deduplication on LinkedIn URL.

Setup Steps

Step 1 (2 hours): Build two linked Notion databases — Candidates and Open Roles. Each candidate links to one or more roles. Enable Notion AI (€8/month).

Step 2 (1 hour): In Make.com, build the follow-up scenario: Watch Notion items → filter for stale "Contacted" entries → call OpenAI API for personalization → send email → update Notion.

Step 3 (30 min): Create a Google Drive folder for weekly LinkedIn CSV exports. Make.com watches this folder and creates Notion entries automatically.

Results

Total system cost: €17/month (Notion AI + Make.com Core). According to a LinkedIn study (2025), recruiters who automate their tracking pipeline reduce time-to-fill by 23% on average.

If you want to map all your HR workflows and identify the highest-ROI automations, the TransformAudit audit (€1,490) delivers an operational roadmap in 90 days. Contact us here.

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A 6-step execution framework. Every step delivers concrete output and measurable KPI tracking. No endless exploratory phase, only practical momentum from month one.

I

Audit – Scoping (Week 1)

AI maturity diagnosis of your organization, process mapping, and bottleneck identification.

Deliverable: Diagnostic report + AI maturity scoreKPI : Maturity score out of 100, sector benchmark
M

Mission (Week 2)

Business-impact prioritization of use cases (not tech convenience), with a 90-day roadmap and estimated ROI by use case.

Deliverable: Dated and budgeted AI transformation plan (PDF)KPI : Projected ROI by use case, deployment timeline
P

Pilot (Weeks 3-4)

Operational deployment of the highest-impact use case: tooling, configuration, and integration in existing workflows.

Deliverable: First use case deployed and runningKPI : Before/after baseline (time saved, cost reduced, revenue impact)
A

Adoption (Weeks 4-6)

Team enablement on deployed tools, internal AI owner coaching, and change-management execution.

Deliverable: Training kit, user guide, trained AI ownerKPI : D+30 adoption rate, internal NPS
C

Consolidation (Months 2-3)

Monthly KPI review, optimization loops, and stack-up of next use cases.

Deliverable: KPI dashboard, monthly progress reportKPI : Actual vs projected ROI, number of active use cases
T

Transfer (End of engagement)

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Deliverable: Complete transfer packageKPI : Validated autonomy (team runs without external support)

AI consultant in Bordeaux, across France, Europe, and MENA

AI consultant for SMBs and startups, based in Bordeaux and supporting teams across France, Europe, and the MENA region.

An AI consultant helps organizations identify use cases with measurable impact, select practical tools, deploy useful workflows, and train teams so adoption is real. That is exactly the role I deliver for SMBs, startups, and scale-ups.

Company profiles supported

Company typeTypical AI missionsWhen it fits
SMBs and micro-businessesAI diagnostics, operations automation, CRM optimization, marketing workflows, KPI steering, and team enablement.Teams of 5 to 250 people looking for visible gains without an internal AI department.
Startups and scale-upsUse-case prioritization, product acceleration, AI workflows, and business-team tooling.Teams that need to scale faster without adding process complexity.
Executive teams and leadership committeesDigital transformation framing, AI roadmap design, ROI arbitration, governance, and adoption strategy.Leaders who want an AI consultant who speaks business outcomes before technology.

Coverage areas

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An AI and digital transformation advisor who can connect ROI, adoption, tools, governance, and enablement. Not just technology talk: operational execution aligned with business priorities.

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90 days

Structured roadmap, milestones, budget estimates, and expected outcomes.

5 days

Delivery in 5 business days with analysis and benchmark.

Concrete use cases

How AI creates concrete outcomes inside an SMB.

Operations automation

Teams often lose two days per week on emails, follow-ups, proposals, and reporting. Focused AI workflows can reduce this to minutes. In a recent mission, targeted automation on the top 3 bottlenecks cut operational load by 40%.

Typical impact: -40% manual workload, +25% time-to-market

Marketing and lead generation

AI structures content strategy, personalizes outbound, and improves SEO execution. You move from ad-hoc publishing to a repeatable qualified lead engine.

Typical impact: +40% qualified leads in 6 months

CRM and augmented customer operations

Predictive segmentation, automated scoring, and AI assistants for field teams. I designed NLP assistants that query client knowledge in natural language with no client-side code.

Typical impact: +15% conversion rate, -30% processing time

Data-driven decision-making

AI dashboards, smart alerts, and predictive analysis help teams decide in minutes instead of days. This model has been deployed across multi-SaaS environments in multiple countries.

Typical impact: decisions 3x faster, -20% targeting errors

Tarek Nachnouchi speaking on stage in San Francisco

Product leadership · Advisory · Transformation

Who I am.

About

Who I am.

My name is Tarek Nachnouchi. I have 27 years of experience in digital operations, product leadership, and organizational transformation.

I started at Yahoo in Europe, where I learned what global-scale operations require. I then built AdTech and SaaS platforms in Dubai, founded Boostiny (affiliate platform, 30,000 users, strategically acquired in 2020), and later led product transformation at ArabyAds as CPO (100M$+ revenue, 50 people, 5 countries, $30M raised).

Since returning to France in 2024 and based in Bordeaux, I decided to put this experience to work for SMBs. They are the core of the economy and deserve high-quality AI transformation support: not theoretical training, not disconnected tools, but real execution and measurable outcomes.

My conviction: AI is a powerful lever only when integrated methodically into the organization, not just into tools. This is a transformation project, not an IT side project, and this is exactly what I execute.

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