Enterprise IT
From hours of reporting to a 12-second answer
12s
Answer time, down from hours of manual reporting
AI agents & automation
Agents that act, not assistants that wait.
We build AI agents and automations that take whole processes off your team and systems that act on your most important goals. Fully customised.
Tools we build with
The problem
Either way, your team is still doing the work.
Most automation is brittle rules that break the moment reality doesn’t match the script. Most “AI” is a chatbot a person still has to sit and operate. The repetitive, multi-step jobs that eat their week, the ones that need a bit of judgment, so rules can’t handle them and a human ends up doing them by hand, just sit there, unautomated.
Automation
The work that should run itself, finally does.
Every team carries manual work that quietly drains hours: data copied between tools, approvals chased, the same record keyed in five times. Automation wires your systems together so that work just happens, triggered by a real event, finished in seconds, traceable from start to end.
Hours back, every week
Repetitive tasks run untouched, so your team spends its time on
the work only people can do.
Fewer mistakes
No more copy-paste errors between systems. Every step runs the
same way, every single time.
Always on
Workflows fire the moment something happens, at 3pm or 3am, with
a full audit trail behind them.
lead-to-crm.flow
Live
New lead arrives
trigger · form submit
Qualify & enrich
ai agent
Score & route
if · qualified
Update the CRM
record · upsert
Alert the team
send message
Agents, by industry
The work that should be automatic, and isn’t. Pick an industry to see example agents we have built, each one shipped with the human still in control where it counts.
New-enquiry handler
Reads the inbound enquiry, enriches the company, scores it against your ideal-client criteria, drafts a tailored reply with the relevant past work, books the call, and logs everything to the CRM. Borderline-fit enquiries come to you instead.
Proposal drafter
Takes the brief, assembles a scoped proposal from your templates and rate card, drops in the relevant case studies, and hands you a draft to sign off.
WIP-to-invoice agent
Watches unbilled time, writes the invoice narrative from logged work, and queues it for partner approval.
Professional services
New-enquiry handler
Reads the inbound enquiry, enriches the company, scores it against your ideal-client criteria, drafts a tailored reply with the relevant past work, books the call, and logs everything to the CRM. Borderline-fit enquiries come to you instead.
Proposal drafter
Takes the brief, assembles a scoped proposal from your templates and rate card, drops in the relevant case studies, and hands you a draft to sign off.
WIP-to-invoice agent
Watches unbilled time, writes the invoice narrative from logged work, and queues it for partner approval.
Case studies
Outcomes we’ve shipped
Private equity
Turned manual prospect research into qualified, ready-to-pitch leads
73%
More qualified pipeline from the same headcount
B2B SaaS
Gave product managers a portal to ask anything of their customer data
2,000+
Customer signals behind each roadmap decision
How it works
Four steps, from the right work to an agent you can trust.
Map
We find the repetitive, judgment-heavy work that’s actually worth handing to an agent.
Design
We define what the agent does, the tools it uses, and where humans stay in the loop.
Build
We develop the agent, its integrations and its guardrails.
Prove
We evaluate its behaviour, set the controls, and put it to work under supervision before letting it loose.
Why it’s different
Autonomy you control, not autonomy you hope about.
An agent that acts is only worth having if you can trust it. Most AI builders ship the autonomy and skip the part that makes it safe to deploy. We don’t: guardrails, evaluation and observability are built in, and because we also handle governance, these are agents you can let run and answer for.
Most AI builders
- Ship the autonomy and skip what makes it safe
- Guardrails and evaluation bolted on later, if at all
- A demo that impresses, then falls over in the real world
- Autonomy you hope about
The Nalgo way
- Guardrails, evaluation and observability built in
- Governance handled, so you can answer for what it did
- Agents you can actually let run on real work
- Autonomy you control
Got a process worth handing over?
Let’s find the work an agent should be doing.