Your business.
Running itself.
AI agents that perceive, decide, and act — handling workflows 24/7 without waiting for a human to start the chain.
Not automation. Agents.
Traditional automation follows rules. If this, then that — every step hardcoded, every exception a failure. When the input changes, the workflow breaks.
AI agents are different. They receive a goal, reason through the steps, use tools, make decisions, and keep going — adapting in real time without a human in the loop for every move.
One goal. Every step handled.
AI agents don't follow a script — they receive an objective, plan the steps, use the right tools, and execute end-to-end. Here's what they handle.
From business goal to deployed agent in 7 phases
Baseline Audit
Every data source scanned, broken tracking flagged, duplicate signals removed, measurement gaps surfaced before a single decision is made on bad data
- Analytics audit
- Tracking gap analysis
- Data quality assessment
- Source mapping
Goal & KPI Definition
Business model mapped to the exact metrics that predict growth — everything that can't influence a decision gets cut before it wastes anyone's time
- KPI framework
- SMART goal setting
- Vanity metric elimination
- Stakeholder alignment
Data Architecture
Every source unified — CRM, ads, social, email, website — into one clean, continuously updated single source of truth
- Source integration
- UTM structure
- Data warehouse setup
- Single source of truth
Tracking Implementation
Every tag, event, and conversion goal validated at deployment — zero gaps, zero silent failures, zero data arriving broken
- Tag deployment
- Conversion tracking
- Funnel mapping
- Event setup
Live Monitoring
Every threshold watched continuously, every breach surfaced the moment it happens — not discovered in next week's report
- Real-time dashboards
- Automated alerts
- Anomaly detection
- Performance thresholds
Analysis & Reporting
Root cause delivered automatically when metrics move, so every report arrives with answers and next steps — not just numbers to interpret alone
- Root cause analysis
- Monthly reporting
- Trend identification
- Actionable recommendations
Test & Optimise
Experiments ranked by predicted impact, results fed back into the next test automatically, budget reallocated without waiting for a human review cycle
- A/B testing
- Budget reallocation
- Creative iteration
- Continuous optimisation
Agents that think. Humans that decide.
We build agents with defined boundaries.
- Every agent given a specific goal, a defined toolset, and explicit stop conditions — no open-ended autonomy
- Least-privilege permissions — agents access only what the task requires, nothing more
- Memory configured to retain what's useful, discard what's noise
- Escalation paths built in before the first task runs
- Every action logged from day one
We keep humans in the loop.
- High-impact actions require human approval before execution
- Real-time audit dashboard shows every step taken, every tool called, every output produced
- Anomaly detection flags unusual behaviour before it compounds
- Clear escalation rules define exactly when the agent stops and a human takes over
- Performance evals run continuously against defined success criteria
We scale what works, fix what doesn't.
- Agents monitored post-deployment — output quality tracked, drift caught early
- Edge cases discovered in production fed back into evals and retesting cycles
- New tools and integrations added as your workflows evolve
- Multi-agent orchestration introduced when single agents hit their ceiling
- Monthly reviews: what the agent did, what changed, what we improve next
12 deliverables. One autonomous operation.
Why AI agents outperform traditional automation
Built for teams running workflows too complex for rules.
If your operation involves repeating the same multi-step process hundreds of times, an AI agent can own it.
E-Commerce & Retail
- Order processing and returns handled end-to-end without manual intervention
- Customer support queries resolved across every channel at any hour
- Inventory reorder triggers fired automatically based on live stock signals
- Personalised follow-up sequences run without a human starting each one
Finance & Banking
- Invoice receipt, extraction, matching, and approval processed without data entry
- Fraud pattern detection running continuously against live transaction signals
- Compliance checks executed on schedule with reports generated automatically
- Reconciliation completed across systems without manual cross-referencing
Recruitment & HR
- Candidate screening and scoring handled automatically the moment an application arrives
- Follow-up emails and status updates sent without a recruiter touching the queue
- Interview scheduling coordinated between candidates and hiring managers without back-and-forth
- Onboarding task sequences triggered automatically on offer acceptance
Healthcare
- Patient intake forms processed and records updated without admin involvement
- Appointment scheduling, confirmations, and reminders handled automatically
- Insurance eligibility verified before appointments without phone calls
- Referral coordination managed across providers without manual chasing
Real Estate
- Inbound leads qualified and followed up within minutes of enquiry
- Property documents collected, checked, and organised without manual handling
- Viewing schedules managed and confirmed without agent involvement
- Cold lead re-engagement triggered automatically based on behavioural signals
Professional Services
- Proposal and contract workflows managed from request to signature
- Client onboarding tasks assigned, tracked, and chased automatically
- Time and billing data compiled across projects without manual input
- Reporting delivered on schedule with no human assembly required
E-Commerce & Retail
- Order processing and returns handled end-to-end without manual intervention
- Customer support queries resolved across every channel at any hour
- Inventory reorder triggers fired automatically based on live stock signals
- Personalised follow-up sequences run without a human starting each one
Finance & Banking
- Invoice receipt, extraction, matching, and approval processed without data entry
- Fraud pattern detection running continuously against live transaction signals
- Compliance checks executed on schedule with reports generated automatically
- Reconciliation completed across systems without manual cross-referencing
Recruitment & HR
- Candidate screening and scoring handled automatically the moment an application arrives
- Follow-up emails and status updates sent without a recruiter touching the queue
- Interview scheduling coordinated between candidates and hiring managers without back-and-forth
- Onboarding task sequences triggered automatically on offer acceptance
Healthcare
- Patient intake forms processed and records updated without admin involvement
- Appointment scheduling, confirmations, and reminders handled automatically
- Insurance eligibility verified before appointments without phone calls
- Referral coordination managed across providers without manual chasing
Real Estate
- Inbound leads qualified and followed up within minutes of enquiry
- Property documents collected, checked, and organised without manual handling
- Viewing schedules managed and confirmed without agent involvement
- Cold lead re-engagement triggered automatically based on behavioural signals
Professional Services
- Proposal and contract workflows managed from request to signature
- Client onboarding tasks assigned, tracked, and chased automatically
- Time and billing data compiled across projects without manual input
- Reporting delivered on schedule with no human assembly required
47 hours of manual work automated. Every week. In 30 days.
A recruitment agency was running candidate screening, follow-up, and interview scheduling manually across a team of three. Every consultant spent hours each week on tasks that followed the same pattern every time. We deployed three coordinated agents — a Qualifier, a Responder, and a Scheduler — and handed the entire workflow to them.
Stop managing the process. Let the agents run it.
They were running the same screening questions, the same follow-up emails, the same scheduling back-and-forth — every single day. We mapped the workflow, built three agents to own each stage, connected them to their ATS, and deployed in under 30 days. The team now handles exceptions only.
Meet the agents running your operations.
"You never see me work. You only see it done. By the time you check, the task is already closed."
Operates silently in the background across your most complex workflows. Umbra handles multi-step processes end-to-end — no check-ins, no status updates, no hand-holding required.
"The task arrived. I read it, planned it, ran it, and logged it. You were still reading the brief."
Owns the high-volume, time-sensitive workflows. Dash processes leads, responses, and actions the moment they arrive — before a human would have opened the notification.
"I don't just run the workflow. I understand why it exists and build it so nothing breaks"
Designs and oversees the agent architecture. Vector maps the logic, defines the tool connections, and ensures every agent in the system operates within its exact boundaries.
The 8 ways AI agent projects get cancelled before they scale.
Most agent failures aren't model failures. They're architecture failures. Here's what we find — and eliminate.
Excessive Agency
Agent given too many tools, too many permissions, and too much autonomy. When something goes wrong, the blast radius is the entire system.
We apply least-privilege permissions to every agent — access only to what the task requires, nothing beyond the defined scope.
Infinite Loops
Agent can't complete the goal, so it keeps calling the same tools repeatedly — burning compute, producing nothing, and never stopping itself.
We build explicit stop conditions and max-iteration limits into every agent — if a goal can't be completed, the agent escalates, not repeats.
No Human Override
Agent executes high-impact actions — sending emails, moving money, deleting records — with no checkpoint and no way to stop it mid-run.
Every high-impact action has a human-in-the-loop checkpoint built in before deployment — agents pause, humans approve, then execution continues.
Hallucinated Actions
Agent confidently executes the wrong step — wrong tool, wrong data, wrong output — with no mechanism to catch it before the damage is done.
We run structured evals before production — outputs tested against defined success criteria so confident-but-wrong execution is caught before it costs anything.
Integration Failures
An API times out, a webhook breaks, a connector goes silent — and the agent fails without logging the error or alerting anyone it happened.
Every API and tool connection is tested for failure states — timeout handling, retry logic, and silent error detection built into every integration.
No Audit Trail
Agent ran. Something changed. Nobody knows what it did, which tools it called, or why it made the decisions it made. Untraceable by design.
Every agent action, tool call, and output is logged from day one — full visibility into what ran, when, why, and what it produced.
Scope Creep
Agent starts handling tasks outside its defined domain — interpreting its goal broadly, touching systems it was never meant to interact with.
Agent goals are defined with explicit boundaries — tasks outside the defined domain trigger escalation, not improvisation.
Brittle Prompts
A small change in input format, phrasing, or context breaks the agent's reasoning entirely — reliable in testing, unpredictable in production.
We stress-test agent instructions against edge case inputs before deployment — prompts hardened so small input variations don't break the reasoning chain.
The tools behind the agents.
Let's Talk.
What we offer
- Weekly performance review
- Reporting portal
- Live Dashboard
- Responds to leads in under 60 seconds
- Runs 24/7 with zero downtime
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