AI agents for the workflows your team repeats every week.
Personomics designs and builds supervised AI systems for SMEs — from marketing analytics and content production to market monitoring, invoice processing, and compliance review.
Built from real operating work across ecommerce, property data, and business lending — not demo workflows.
Most SMEs use AI as a chatbot. The value is in the workflow.
A chatbot answers. An AI agent does the work — it checks systems, drafts outputs, updates records, escalates exceptions, and reports what changed.
- Campaign performance is rebuilt by hand every week — too late to change the spend.
- Content and creative stall waiting on briefs and approvals, not ideas.
- Invoices and documents still move by hand.
- Contracts and compliance checks pile up waiting for a manual review.
- Competitor moves and market data are scattered across messy online sources.
Personomics turns those repeated workflows into supervised AI agents.
Build at the edge. Prove it. Then scale.
We don't disrupt your core operation on day one. We copy one workflow at the edge, run it in parallel, add quality checks, and only retire the manual steps once performance is proven.
Map the workflows
We identify the work your team repeats and rank each workflow by business value and automation readiness.
Build one supervised agent
We build a working prototype for a single workflow and test it against your real examples — not a demo dataset.
Prove it in parallel
The agent runs alongside your current process. We compare quality, time, and cost before anything is replaced.
Integrate, monitor, scale
Once it's proven, we integrate it with logs, escalation rules, and documentation — then add the next workflow.
Six workflows where supervised agents earn their place.
Each starts as one narrow workflow, runs with a human in the loop, and is measured against the work it replaces.
Marketing analytics & reporting
Turn scattered campaign data into a weekly decision: what to stop, what to scale, what to test next.
Decision cadence, ROAS, wasted spend, time-to-insight.
Content & creative production
Produce on-brand content and creative variations, aligned with your strategy and design system — not generic AI output.
Production throughput, brand consistency, time-to-publish.
Market & competitor monitoring
Watch competitors and markets, collect fragmented online data, normalise it, and surface signals worth acting on.
Research hours saved, freshness, coverage, data quality.
Finance & invoice processing
Extract invoice details, match documents, flag exceptions, and prepare approval summaries.
Processing time, error rate, missing documents, approval delay.
Legal & compliance review
Run first-pass compliance checks and document review — verifying terms, flagging risks, and surfacing what needs a lawyer.
Review time, coverage, consistency, audit readiness.
Decision-support workflows
AI prepares the analysis. Humans keep the authority. Every recommendation carries evidence and an audit trail.
Review time, consistency, completeness, auditability.
Real operating work, not demos.
Three engagements across ecommerce, property data, and lending. Metrics are labelled honestly — confirmed facts versus targets and pilots.
An AI-assisted operating layer for a wellness ecommerce brand
A lean ecommerce brand (The Aquarian Alchemist) needed strong strategy, content, ad analysis, and admin — without building a large team.
- A weekly campaign-analysis rhythm: what to stop, scale, and test.
- Content production support, from brand strategy to briefs and variations.
- An invoice-processing workflow that cut repetitive admin.
Start small. Scale what works.
Three ways to engage — from a one-off audit to a production build. Most teams start with an audit or a prototype sprint.
AI Workflow Audit
Find the first workflow worth automating.
We map your repetitive workflows, score them by value and readiness, and choose the first agent worth building.
- Workflow map
- Automation-readiness score
- ROI estimate & risk map
- Recommended first agent
Agent Prototype Sprint
Most popularTurn one workflow into a working agent.
In 2–4 weeks we build a supervised prototype around one workflow and test it against your real examples.
- Working prototype
- Integrations where feasible
- Human review step
- Test dataset & quality checklist
Production Agent Build
Deploy a reliable agent in daily operations.
We move from prototype to production with logs, safeguards, escalation paths, and measurable performance targets.
- Production workflow & integrations
- Monitoring & logging
- Permission model & escalation rules
- Documentation, SOPs & training
AI Operating System Retainer
Once the first agent works, we connect the next workflows into a lightweight AI operating system — with orchestration, a shared knowledge base, a reporting layer, and monthly optimisation.
Agents should be useful before they are autonomous.
No black boxes. Every agent ships with the controls that make it safe to run in a real business.
Human approval for high-stakes actions
Agents prepare the work; people approve anything that carries real consequence.
Logs and audit trails
Every action an agent takes is recorded, reviewable, and explainable.
Exception handling
When something is unclear or out of bounds, the agent escalates instead of guessing.
Permission boundaries
Agents only touch the systems and data you explicitly grant them.
Quality checks against real examples
We measure agent output against your actual work before it replaces anything.
Private data handled carefully
Sensitive information is scoped, minimised, and handled with care.
Start with one workflow.
Send us the task your team repeats every week. We'll tell you if it should become an AI agent, a simpler automation, or stay human.
- No obligation, no jargon — a practical read on your workflow.
- You'll hear back from a builder, not a sales bot.