Challenge

Appointment requests arrived by email in inconsistent formats — sometimes plain text, sometimes with PDF attachments — requiring staff to manually extract details and create calendar events.
This repetitive task caused delays, double-bookings, and occasional missed appointments, adding unnecessary admin overhead.

Solution

We built an automation that reads appointment request emails, extracts structured details using GPT-4o, and instantly creates color-coded Google Calendar events.
The workflow parses both email bodies and attachments, logs entries to Google Sheets to prevent duplicates, and sends success or error notifications automatically.

Impact

• 6–8 hours saved weekly (no more manual scheduling)

• ~90 % reduction in admin time — equivalent to ~24 FTE hours/month eliminated

• ~98 % accuracy in event creation and duplicate prevention

• Appointments appear instantly upon receiving the email — coordination happens same-day

Challenge

• Content creation was inconsistent, manual video workflows were slow, and there was limited capacity to experiment with formats.

Solution

• We built an automated pipeline that goes from story to script to voice to video.

• We leveraged AI story generation and ElevenLabs voices.

• We used JSON2Video for final assembly.

Impact

• Reduced video production time drastically.

• Allowed daily content generation.

• Freed the creative team to focus on storytelling

Challenge

• Leads weren’t prioritized systematically, which caused sales to waste time on low-quality prospects.

• There was no clear scoring system.

Solution

• We built an automated scoring pipeline for inbound leads using data enrichment.

• Leads were prioritized into buckets (Priority / Secondary / Exclude).

• The workflow was integrated with the CRM.

Impact

• Faster lead triage.

• Higher sales efficiency.

• Clear rules for qualification.

Challenge

• V+D’s traditional contact form didn’t match their tone, lacked interactivity, and couldn’t engage after hours, which risked losing leads and forced clients to repeat themselves.

Solution

• We built a 24/7 conversational AI that welcomes leads, gathers key details, schedules meetings, and shares materials automatically.

• It was trained to match tone, escalate to humans, and never leave leads waiting.

• We integrated the system with Outlook and Gmail for scheduling and follow-up.

Impact

• 24/7 lead capture + follow-up

• 80% fewer back-and-forth emails

• ~2x increase in qualified inquiries

•  ~2 hrs/day saved in manual coordination

Challenge

• Meeting notes took hours to transcribe, reformat, and align with process standards.

• Valuable insights were often buried or inconsistently shared, which slowed decision-making and delivery.

Solution

• We automated the process so that team members upload recordings or transcripts and the system handles everything — transcription, summarization, formatting, storage, and email delivery.

• Whisper and GPT were used for transcription and structuring.

• Docs are auto-generated in Word and stored in OneDrive.

Impact

• 4–6 hrs saved from note-taking and formatting

• 100% in minute structure, aligned with industry standards

• 2–3x faster turnaround on shared meeting summaries

• €900–1,200 saved in project admin time

Challenge

• Clients struggled to express design preferences with text-only forms, and the team lost time translating vague input into usable briefs.

• Creative misalignment slowed projects down.

Solution

• We designed an image-based form that lets clients visually express their taste.

• The system summarizes preferences, creates moodboards, and delivers structured briefs automatically.

• GPT was used to summarize creative expectations.

Impact

• 100% projects now include visual inputs

• 3–4 fewer iterations per concept phase

• 3–5 hrs saved per project on clarification and rework

• €750+/month saved across projects

Challenge

Proposal creation was slow and inconsistent, as teams stitched together documents manually, wasting hours and risking delays at every step.

Solution

• We built a system that collects internal inputs, merges them with uploaded content, and generates clean, branded proposals automatically.

• No formatting or rework is required — just ready-to-send documents.

• All proposals are stored securely in OneDrive for version tracking.

Impact

• 5–7 hrs saved from manual formatting and copy-pasting

• 90%+ content consistency

• 80% faster turnaround: proposals go out the same day, not the end of the week

• €1,400 time savings reclaimed from admin + formatting work

Challenge

V+D’s follow-up process didn’t adjust to project type, which meant more admin, slower turnaround, and inconsistent briefs — risking client confusion and delays.

Solution

• We built a smart, adaptive follow-up form that evolves based on the client’s first response.

• The form pre-fills details, collects deeper specs, and generates ready-to-share documents in minutes.

• Everything is auto-organized and sent without manual work.

• We also integrated results into Excel and project folders.

Impact

• 100% consistency in business case briefs

• 3–5hrs admin time saved chasing client details

• €1,200 estimated time savings from reduced manual coordination

• Proposal-ready briefs generated in 30 mins instead of 30 days

Challenge

• Manual onboarding delayed project starts and led to inconsistent, incomplete data collection.

• V+D needed a system that automated early client intake, reduced manual tasks, and improved client engagement from the start.

Solution

• We implemented a guided intake system that collects client details, standardizes briefs, and triggers personalized follow-ups — all without manual effort.

• We automated data transfer to Excel and document generation in OneDrive.

• We created client folders automatically.

Impact

• 6–8hrs saved weekly (no more intake admin)

• €1,800 estimated value/month (equivalent to ~24 FTE hours/month in admin time eliminated)

• Kickoff happens ~2 days sooner

• 1–3 fewer revisions per project thanks to clearer briefs

Challenge

• The client had thousands of files in Box with no indexing, which made it hard to find key documents quickly.

• Manual sorting was unscalable.

Solution

• We built an automated ingestion pipeline from Box.

• Metadata was extracted and indexed with AI.

• We linked the content to a RAG pipeline for knowledge retrieval.

Impact

• 4,500 files indexed automatically.

• Searchable knowledge base created.

• Staff can now find files instantly.

Challenge

Creating vlogs required manual scripting, recording, and editing, which created a high barrier to entry for non-technical users.

Solution

• We built an automated pipeline where scripts are generated, voiceovers recorded with AI, and videos stitched together automatically.

• We used AI voice and JSON2Video for editing.

• The pipeline outputs a shareable video instantly.

Impact

• Enabled non-technical users to publish vlogs easily.

• Reduced production time from hours to minutes.

• Opened new marketing possibilities.

Challenge

Task creation was manual and repetitive, and many details such as assignees, deadlines, and priorities had to be retyped.

Solution

• We automated task creation in ClickUp from form inputs.

• Tasks are auto-assigned to the right team member.

• Due dates and labels are pulled in dynamically.

Impact

• Saved hours of admin weekly.

• Reduced task entry errors.

• Faster project kickoff.