Service
AI Agents & Automation
Software that completes the work, not just the form.
We design intelligent systems that automate repetitive work, streamline operations, and improve business efficiency. From customer interactions to internal workflows, our AI solutions help teams focus on what matters most.
5.0 on Clutch42+ AI automation projects deliveredReply within 1 working day
Overview
An AI agent is software that can reason, plan, use your tools, and finish a job end to end — triaging tickets, drafting and sending follow-ups, reconciling data across systems, or running multi-step research. We build agents that do the work, not demos that impress once in a controlled setting and fall apart the moment they meet real data, real volume, and real edge cases.
Our approach is deliberately incremental. We start with one high-value, well-bounded workflow, instrument it, and prove the ROI with metrics you agree up front — hours saved, error rate, cost per task, response time. Once it's clearly earning its keep, we widen the agent's responsibilities and connect it to more of your stack, so value compounds instead of stalling at a proof of concept.
Every agent ships production-ready, not just functional. That means evaluation suites that catch regressions before your customers do, guardrails and approval steps around anything sensitive, graceful fallbacks when a tool or model misbehaves, and full observability into what the agent did, why it decided to, and what each run cost. That discipline is the difference between automation you can trust with live operations and a clever prototype that quietly makes expensive mistakes.
Agents that work inside the tools you already use
- HubSpot
- Salesforce
- Slack
- Zendesk
- Gmail
Capabilities
What we deliver.
Task automation
Agents that complete multi-step jobs against your real systems — not single prompts, but workflows with branching, retries, and a human in the loop wherever it matters.
Tool & data access
Securely connected to your APIs, databases, and SaaS so the agent acts on live context and current data, with scoped permissions for everything it can touch.
Multi-agent orchestration
Specialised agents that plan, delegate, and hand work to one another — coordinated by a manager so complex jobs get broken down and finished reliably.
Evaluation & guardrails
Measured accuracy against real cases, safety limits, content filters, and tested fallbacks before anything is allowed near production.
Human-in-the-loop control
Approval gates, confidence thresholds, and clean escalation to a person whenever the stakes or the uncertainty are high — you decide where the line sits.
Monitoring & cost control
Full traces of every decision and tool call, plus token and spend tracking, so you always know what the agent is doing and what it costs.
Who it's for
Built for teams like yours.
- Ops leaders with manual workflows
- Support teams with high ticket volume
- Sales teams losing leads to slow follow-up
Use cases
What we build with it.
Support triage
Classify, prioritise and route every ticket, draft replies, and escalate the tricky ones to a person.
Lead follow-up
Follow up with every inbound and stale lead in minutes, qualify them, and book meetings into your calendar.
Data entry
Read emails, forms and PDFs, then update your CRM, ERP or spreadsheets without anyone re-keying data.
Invoice processing
Extract line items, match against POs, flag exceptions, and push approved invoices to accounting.
Reporting
Pull numbers from your tools on a schedule and turn them into a written weekly summary for the team.
Research
Gather and summarise information on prospects, competitors or suppliers, with sources you can check.
Case studies
Related work.
How we work
From first call to launch, in four steps.
Step 1
Discover
A free call to understand your goals, users and constraints.
30 minutes, freeStep 2
Scope
A written proposal with features, timeline and fixed price.
Within 1–2 daysStep 3
Build
Weekly sprints with a demo every week. You see real progress, not status reports.
Typically 4+ weeksStep 4
Launch & support
Go-live, monitoring and ongoing improvements.
Ongoing
Pricing & timeline
Clear scope. Clear price.
Best when
You have a repetitive, high-volume workflow eating your team's time
Typical timeline
3–6 weeks for a first workflow in production
“They shipped a working AI agent against our real data in weeks, not months — with guardrails and monitoring from day one. It's been running in production reliably ever since.”
What can an AI agent actually do for my business?
Agents complete multi-step tasks against your systems — triaging and routing support, drafting and sending follow-ups, reconciling data between tools, qualifying leads, or running research and producing a summary. We start with one high-value workflow, prove the ROI, then expand into adjacent jobs once it's trusted.
Is it safe to let an agent act autonomously?
Yes, when it's engineered for it. We add guardrails, approval steps, permission scoping, and monitoring, and keep a human in the loop wherever the stakes require it. You define exactly what the agent is allowed to do on its own and what needs sign-off, and every action is logged and reversible.
How fast can we see value?
We scope a focused first workflow that can typically ship in a few weeks, with success metrics agreed up front. You see a working agent on a real task early, rather than waiting months for a big-bang launch.
Which parts of our business are the best fit for an agent?
The best candidates are repetitive, rules-and-judgement tasks that consume skilled people's time — support triage, data entry and reconciliation, outbound follow-up, reporting, and research. In discovery we map your workflows and rank them by value and feasibility so the first build is a safe, high-return bet.
Will agents replace our team?
Our goal is to remove the repetitive load, not the people. Agents handle the high-volume, low-judgement work so your team can focus on the decisions, relationships, and edge cases that genuinely need a human.
Find the work AI can take off your team's plate.
Tell us how your team works. We'll map 3–5 tasks an agent could handle and what it would take to automate them — free.