The agents running your growth.
24 hours a day. Zero overhead.
These aren't chatbots. They're autonomous agents with defined roles, quality standards, and persistent operation — detecting opportunities, taking action, and improving over time without human input.
4
Active agents
Running in production
24/7
Operation
No human in the loop
1M+
Monthly impressions
Content agents alone
R0
Per-action cost
No headcount required
The team
Meet the agents.
Each agent has a defined role, a defined quality gate, and a defined output. They coordinate — Gemma feeds Sasha, Sasha feeds Lucy, Chris works in parallel on B2B outreach.
Chris scrapes the web for opportunity signals, identifies the right decision-maker at each target company, and reaches out with a personalised message. When they reply, he answers their questions, shares the right information, and books the meeting — without any human involvement.
24/7
Continuous, autonomous operation
What Chris does
Web scraping for hiring and growth signals
Decision-maker identification by role and seniority
Personalised outreach across email, LinkedIn, and WhatsApp
24/7 intelligent Q&A and objection handling
Collateral sharing and nurturing sequences
Calendar-based meeting booking
"Finds your next customer before you know to look for them."
Every night, Gemma scans DataForSEO and Google Search Console to find keyword gaps — queries with high search volume and weak competition. She prioritises by opportunity score, generates detailed research briefs, and queues them into the content pipeline. She also runs weekly competitor gap analysis to find topics they rank for that we don't.
500+
keyword clusters tracked nightly
What Gemma does
Nightly keyword gap scanning via DataForSEO + GSC
Opportunity scoring by volume × competition ratio
Detailed research brief generation for each article
Weekly competitor gap analysis
Content calendar queue management
Decay detection for ranking drops
"Spots the keyword opportunity before your competitor does."
Sasha takes Gemma's briefs and converts them into full content plans — matching search intent, selecting the right content type, building semantic clusters, and adding internal linking strategies. She manages the content calendar and pillar architecture, ensuring every article has a structural purpose and a compounding relationship with the articles around it.
10,000+
article briefs generated
What Sasha does
Keyword brief → full content plan conversion
Search intent mapping and content type selection
Semantic cluster architecture
Internal linking strategy for each article
Content calendar and pillar management
Topic prioritisation by commercial value
"Turns keyword data into a content strategy that compounds."
Lucy executes the content plan. She writes each article against a 9-dimension quality rubric, runs a 3-pass scored loop, and won't publish until the article passes. Once live, she submits to Google Search Console for instant indexing, then monitors nightly. When decay is detected, she triggers the right fix — minor edit, targeted block rewrite, or full article refresh — automatically.
92%
pass rate on first attempt
What Lucy does
Article writing against a 9-dimension quality rubric
3-pass scored loop — rewrites until quality gate is passed
Google Search Console instant indexing on publish
Nightly ranking decay detection and severity classification
3-lane refresh system (minor / targeted / full)
92% quality gate pass rate on first attempt
"Writes, scores, and refreshes — every article, every night."
Coordination
How the content agents work together.
The content pipeline runs as a coordinated loop — not three separate tools. Output from one agent becomes input for the next.
Detects a keyword gap with high opportunity score
Plans the article structure, intent mapping, and internal links
Writes, quality-gates, publishes, and monitors the article
Detects ranking decay and triggers Lucy's refresh pipeline
What makes them different
Not chatbots. Not automations. Agents.
The distinction matters. Chatbots respond. Automations execute steps. Agents perceive, decide, act, and improve — in a loop.
Persistent, not episodic
These agents run continuously. They don't complete a task and stop — they monitor, detect, and act in loops. Gemma scans every night. Lucy monitors every article, every day.
Quality-gated, not just fast
Speed without standards is noise. Every agent has a quality gate — a defined threshold it must hit before output is accepted. 92% of Lucy's articles pass on the first attempt. Those that don't get rewritten automatically.
Autonomous, not assisted
These agents don't create drafts for humans to approve. They detect, decide, act, and move to the next item. Human review is optional, not required.
Compounding, not linear
Every article Lucy publishes makes the next one more effective. Every keyword Gemma finds builds a denser semantic cluster. The output compounds — and the value of the system grows the longer it runs.
See them in context
The products powered by these agents.
The full roster
Every agent on the team.
Beyond content and lead gen, ShiftMate runs agents across voice, recruitment, sales, and training.
Cindy
B2B Contact Enrichment
Enriches company contacts via Apollo, finds verified email patterns, and builds outreach lists — ready for Chris to activate.
Apollo-verified
— contact data
Jay
Academy AI Coach
SFIA skills coach for the CX Academy. Maps each learner's role, guides them through modules, and tracks WIL milestones.
22 SFIA modules
— coached autonomously
Matt
AI Interviewer
Conducts structured voice interviews with candidates at scale. Scores responses, flags anomalies, and archives every session.
500+
— interviews conducted
Naledi
SA Voice Agent
Our South African voice persona for candidate interactions. Natural SA accent, warm tone, and context-aware responses across the candidate journey.
SA-native
— accent & phrasing
Zoe
Outbound Sales Agent
Makes outbound sales calls, handles objections, qualifies leads, and hands warm prospects to the human sales team.
24/7
— outbound calling
Sipho
Training Simulator Persona
Plays the role of a difficult customer in call-centre training simulations — edge cases, incorrect beliefs, and pressure scenarios included.
50+ scenarios
— simulated per campaign
Need an AI agent built
for your team?
Every agent on this page was built for a specific ShiftMate use case. We can do the same for yours — scoped, built, deployed, and maintained. Tell us the job and we'll build the agent.
Scoped to your workflow
We map the exact process the agent will own
Built and deployed
Production-ready in weeks, not months
Maintained and improved
Ongoing monitoring, quality gates, and iteration