SOFTWARE / 03
Workflow Engineering
n8n, APIs, webhooks, queues, business logic, integrations, orchestration, and automated operational workflows.
SOFTWARE / 04
AI & Intelligence
AI agents, assistants, LLM integrations, knowledge systems, analytics, and intelligent automation woven into daily operations.
AI and intelligence work means weaving agents, assistants, and LLM integrations into how your business actually operates — not bolting on a chatbot for its own sake. We build the knowledge systems and analytics underneath it so AI has accurate information to work from, and the automation it powers actually holds up in daily use.
- Your price, built around your business
- No payment until you sign
- A real person reviews every request
What we monitor
What we keep an eye on.
The parts of your systems and automations we watch for you, and report back on in plain language.
- Automation runsEvery workflow run, and any that fail or stall.
- IntegrationsConnections between your tools, and errors when one side changes.
- Data qualityRecords that arrive incomplete or duplicated.
- App healthWhether your internal tools are up, and the errors people hit.
- AI checkpointsHuman review on AI-generated work before it goes out.
- UsageWhich tools your team actually uses, so we improve the right ones.
What's included
- AI agents & assistants
- LLM integrations
- Intelligent workflow automation
Capabilities
Who this is for
Signs you need this.
- Your team retypes or re-explains the same information across tools all day.
- You're curious about AI but don't know where it would actually save time.
- Knowledge lives in people's heads instead of a system anyone can query.
How we approach it
Our process.
01 / 04
Scope
We map the actual workflow or system behind ai & intelligence before writing a line of code.
02 / 04
Build
We design and build the solution, with regular check-ins instead of a black-box handoff.
03 / 04
Integrate
It connects to the tools you already use instead of becoming one more disconnected system.
04 / 04
Iterate
We refine it as your process evolves rather than treating launch day as the finish line.
Want a plan for ai & intelligence?
Tell us about your business. Mostly one-tap questions, and your agreement, with your exact price, comes right after.
Get your quote
- No payment until you sign
- A real person reviews every request
How it actually happens
How we work on this.
- Identify a specific, well-defined problem where AI can actually help — not AI for its own sake.
- Build the knowledge base or data connections it needs to work from accurate information.
- Scope the system narrowly at first, and prove it's reliable before expanding it.
- Keep a human in the loop for decisions with real consequences.
- Monitor and adjust it as your data and processes change.
Field-tested advice
Practical tips.
- Give any AI system a narrow, well-defined job before expanding its scope — a tool that does one thing reliably earns trust faster than one that attempts everything and occasionally gets it wrong.
- Keep a human in the loop for decisions with real consequences — AI is well suited to drafting, summarizing, and flagging, less suited to being the final word unsupervised.
- Feed AI systems from a single source of truth — an assistant is only as accurate as the knowledge base or data it's pulling from.
What usually goes wrong
Common mistakes.
- Bolting on a chatbot or AI feature for its own sake instead of solving an actual operational problem.
- Giving an AI system broad, undefined scope before it's proven reliable at something narrow.
- Letting AI operate without a human checkpoint on decisions that actually matter.
FAQ
Common questions.
We're not technical — is that a problem?
No. You explain the problem in plain language, we handle the engineering and explain decisions back the same way.
Do you disappear after launch?
No. Systems get maintained and adjusted as your process changes, not abandoned the day after ship.
Can this integrate with what we already use?
That's usually the point — connecting or extending your existing tools rather than ripping them out.
How fast can you start?
Scoping typically starts within the first couple of weeks of an initial conversation. Simple automations can move quickly from there; a larger custom build starts with a short scoping phase so we're building the right thing instead of guessing under time pressure.
Pairs well with
Related services.
One team, not five vendors
Why bundle this with EpicTech.
What changes
Separate vendors
EpicTech
Who you call
A separate IT shop, security vendor, marketing agency and developer
One team across IT, security, growth and software
Bills and logins
Separate invoices, logins and account managers
One bill and one point of contact
Something new comes up
Re-explaining your business to whoever picks it up
The same team already knows your systems
Decisions across areas
Each vendor sees only its own lane
Made by people who already have the full picture
Let's build what's next
Ready to talk ai & intelligence?
Tell us about your business and what you're trying to achieve — it takes a couple of minutes and we'll follow up with next steps.
- No payment until you sign
- A real person reviews every request
Pricing is tailored to each business. Get your price →