Customer story
TimeTac's marketing team built its own automations. 54 scheduled runs later, nobody had to press a button.
TimeTac builds workforce management and time-tracking software used across DACH and Spain, as well as English-speaking and international markets inherited through the Early (Timeular) acquisition — including the US and several other countries. Its marketing and growth team wanted reporting and monitoring to happen without them: not another chat window to visit, but work that arrives finished.
- Client
- TimeTac
- Industry
- Workforce management & time-tracking software
- Engagement
- AI enablement workshop + internal AI platform
- Markets
- DACH, Spain, the US and other international markets
Outline
From work that needs visiting to work that arrives finished.
Supercenter partnered with TimeTac to move from manual reporting and monitoring to self-built, scheduled automations — starting with a shared baseline of AI fluency and ending with a team that owns the work.
TimeTac's marketing and growth team wanted reporting and monitoring to happen without them: not another chat window to visit, but work that arrives finished.
Start with a hands-on AI enablement workshop for the whole marketing department, then give the team an internal AI platform where they can build and schedule their own automations.
Three weeks after the first automation went live, the team was running ten of them, most on a schedule. The reporting and monitoring load started leaving the team's calendar entirely.
By the numbers
The first three weeks in production.
Measured in Supercenter between 13 July and 5 August 2026, from TimeTac's first production run to the date of writing.
Where it started
A workshop first, software second.
The engagement opened with a hands-on AI enablement workshop for the whole marketing department, not a tool rollout. The goal was a shared standard for how the department works with AI every day, so that everyone moved up a level at the same time.
That shared baseline is what made the automations stick. By the time the platform arrived, the team already knew what was worth delegating and could build for themselves instead of waiting on a vendor.
What they built
The operations the team built for itself.
Using skills and agents, the marketing and growth team turned recurring reporting and monitoring into scheduled, finished output.
Performance reporting
Ready-to-use insights delivered straight into the channels the team already works in.
Market and brand monitoring
Ongoing monitoring of market and brand signals, with priority items surfaced immediately.
Campaign health checks
Recurring checks that flag issues early instead of at the end of the month.
Visibility in AI channels
Tracking for emerging AI channels that previously had no structured reporting.
Search-term research
A reusable skill and agent that evaluates relevant search terms across TimeTac's markets and turns the findings into actionable content and campaign inputs.
Morning briefings
A single briefing that consolidates the day's most important inputs.
Outbound follow-up
Automated processing of outbound results into qualified leads and clean CRM handoffs.
In practice
The work it replaces is the kind that quietly does not get done.
The clearest win is a recurring digest of how TimeTac shows up across AI assistants like ChatGPT, Claude and Perplexity — a channel most marketing teams still have no reporting for at all. It arrives on a schedule with the positioning read already done.
The work it replaces is the kind that quietly does not get done: logging into a dashboard, reviewing it manually and turning it into something worth forwarding. The automation does that part, so the team spends its attention on the conclusion instead of the collection.
The same approach now supports search-term research across TimeTac's expanded international footprint. Instead of repeatedly starting the research from scratch, the team can use a shared skill and agent to evaluate terms consistently across DACH, Spain, English-speaking markets and the countries inherited through the Early (Timeular) acquisition.
The automation does that part, so the team spends its attention on the conclusion instead of the collection.
Then and now
The work stopped being outsourced.
An AI calling initiative had run for more than eighteen months with external specialists, through complex tooling and processes, without reaching a working result.
The team built a working version themselves in a week. The capability moved in-house: the people who need the output now build it, and they no longer wait on anyone outside the company to do it for them.
Why it worked
Adoption became part of the work.
The team owns the work. Five people across marketing, growth and leadership run their own automations, built by the people who need the output rather than by a vendor.
Most of it runs unattended. Almost half of all runs are scheduled, so the reporting and monitoring load leaves the team's calendar entirely.
An internal champion, not a rollout plan. Aina John Punter helped drive adoption across the workspace, and the pattern spread from there.
Knowledge transferred, not just software. The engagement opened with a hands-on workshop for the whole department, and the team has been building on that baseline without us ever since.
Outcome
A team that builds its own leverage.
TimeTac's marketing and growth team did not get a set of automations. It got a shared baseline and a platform it could use to keep building. Reporting and monitoring now arrive finished, most of it runs on a schedule, and the people who need the output are the same people who can build it.