AI Automation & Workflow Systems
Automation that saves team time and scales operations.
We design AI-assisted workflows, copilots, and reporting systems that remove manual bottlenecks, speed up response times, and make the work behind growth easier to run.
- Eliminate copy-paste loops, manual triage, and repetitive admin work
- Build AI systems grounded in your workflow, business rules, and real operating data
- Get a scoped plan with measurable success criteria, practical integration choices, and self-hosted options where needed
Request Your Free Automation Consultation
Tell us which workflow is slowing the business down and we will reply with the clearest next step, whether it is worth automating, and a written quote within 24 hours.
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What We Build
Practical AI and automation work for businesses that want measurable operational gains, not glossy transformation slides.
Workflow Automation
Connect the tools you already use. Remove manual data entry, copy-paste loops, and handoff delays.
AI Copilots & Assistants
Custom copilots trained on your business for sales, support, onboarding, and internal operations.
Customer Support Automation
AI-led tier-one support, escalation rules, and automated triage for faster responses and cleaner routing.
CRM & Sales Automation
Lead routing, follow-up sequences, deal-stage triggers, and enrichment so your pipeline actually moves.
Data Pipelines & Reporting
Pull data from anywhere, transform it, and deliver it to dashboards, alerts, reports, or AI prompts.
Self-Hosted Options
For sensitive data, we deploy on your own infrastructure, or in a managed automation environment held in your name, so you keep control.
Example Builds
A few real patterns we have shipped. These are operating systems for actual businesses, not speculative demos.
Inbound lead enrichment
New form submission to enrichment API to CRM with assigned owner, Slack alert, and personalized follow-up sequence.
How it runs- A form submission arrives on the site.
- The record is enriched with the company and contact detail the form never asks for.
- A CRM record is created or updated, with an owner assigned by rule rather than by whoever is looking.
- That owner is alerted where they already work, not in a second inbox.
- A personalized follow-up sequence starts without anyone triggering it.
Replaces: retyping form fields into the CRM, leads sitting unassigned overnight, and a first follow-up that depends on someone remembering.
Support email triage
Inbox to AI classifier to routing queue to draft response, with human review before send.
How it runs- Every inbound message is read and classified as it lands.
- Topic, urgency, and the matching account are attached to it.
- It is routed to the queue or the person who handles that category.
- A draft reply is prepared using your own wording, policies, and prior answers.
- A person reviews and sends. Nothing leaves unread.
Replaces: the first hour of the day spent sorting an inbox before anyone answers anything, and the message that sits in the wrong queue for two days.
Document-aware AI assistant
Your knowledge base plus an LLM grounded in it, answering customer or staff questions with citations to source documents.
How it runs- Your documents are indexed into a store you own.
- A question arrives from a customer or a member of staff.
- Only the relevant passages are retrieved and passed to a model.
- The answer comes back with citations to the source documents.
- Questions it could not answer surface the gaps in your documentation.
Replaces: the same policy question asked five times a week, and answers that change depending on who happened to reply.
Cross-platform reporting
Ad platforms, CRM, email tool, and accounting merged into one reporting system that shows what to do next.
How it runs- Data is pulled from each platform on a schedule.
- Records are matched so one customer is one customer everywhere.
- Figures are transformed into the measures your team actually uses.
- The result lands in a dashboard, an alert, or a report on a fixed day.
- Movements worth acting on are flagged rather than left to be noticed.
Replaces: a monthly spreadsheet assembled by hand from four exports, and reporting that arrives too late to change the month it describes.
Every one of these started as a scoped workflow, not a platform rollout. If the process you have in mind looks nothing like these, describe it at the consultation and we will tell you whether automating it is worth the money.
What We Connect To
We choose the right tool for the build. Most engagements land on a practical combination of these rather than a single platform. The test is simple: if a system has an API, a webhook, or a scheduled export, it can be part of the workflow.
Business email and identity
Mailboxes, calendars, shared inboxes, and the authentication records behind them.
Websites and stores
Forms, orders, customer records, and the on-site events worth reacting to.
Email and marketing platforms
Lists, segments, and lifecycle flows kept in step with what the rest of the business already knows.
Transactional sending
Automated mail that has to arrive — authenticated properly and monitored after launch, not bolted on at the end.
Where your team already works
Alerts, approvals, and handoffs delivered into the tools people have open, rather than a dashboard nobody visits.
Anything else with a way in
Older or in-house systems included. If it can be reached or exported on a schedule, it can be part of the automation.
The moving parts we build with
We select the model per use case rather than committing you to one provider, including open-source models where they are the better fit. We benchmark for accuracy, cost, and latency at build time and explain the choice in writing.
How a Build Goes
Four phases, in this order. A scoped build runs on a 1–2 week cycle; larger engagements ship iteratively over 4–8 weeks. The quote says which one you are buying before you commit.
Phase 01
Scope
We map the workflow, integrations, and success criteria in measurable operational terms.
That includes deciding what not to automate. Steps that need real judgment, or that change shape every time they run, are usually cheaper left with a person — and we say so before you pay to have them built.
In this phase
- The current process written down, step by step
- Every system, account, and permission the workflow touches
- Success criteria stated in operational terms
- The steps deliberately left with a person
- A written scope and a fixed price before any build starts
Phase 02
Prototype
You get a working version quickly, tested against real use cases from your business rather than synthetic demos.
Real cases are the point. The duplicate record, the attachment nobody expected, the customer whose name breaks the form — those decide whether an automation survives contact with your operation, and they never appear in a demo.
In this phase
- A working version you can run yourself
- Tested against real records from your business
- Edge cases collected and handled, not designed around
- Model and tooling choices benchmarked for accuracy, cost, and latency
- Changes made while changes are still cheap
Phase 03
Ship
We harden the workflow, add monitoring and fallback paths, and train your team so it runs properly in production.
Automations fail eventually. A platform changes an endpoint, a credential expires, a file arrives in a new format. What matters is whether the failure is visible and whether there is a path that still gets the work done.
In this phase
- Deployment on your accounts or your own infrastructure
- Monitoring on every step that can fail
- Fallback paths so a failure does not become a silent gap
- Team training on running it, not just watching it
- Documentation handed over in writing
Phase 04
Iterate
Optional ongoing support keeps an eye on accuracy, costs, edge cases, and the next operational win.
Most clients move from a one-off project to a retainer once the initial work is live. It is optional either way, and the build is yours whether you take it or not.
In this phase
- Accuracy reviewed against real output, not sample data
- AI usage costs tracked and tuned
- New edge cases folded in as they appear
- The next workflow scoped from what the first one taught you
- Available as a monthly retainer, or not at all
What You Own When We’re Done
An automation you cannot inspect, move, or hand to somebody else is not an asset. Every build leaves you with the working system and the paperwork behind it.
Written handover
What the workflow does, where it runs, which systems it touches, and what to do when a step fails. If you replace us tomorrow, your next provider inherits notes instead of archaeology.
Runs in your accounts
Workflows are deployed on your infrastructure or in environments held in your name, with credentials and connections documented rather than kept on our side of the relationship.
Self-hosted where it matters
Sensitive workflows can run on self-hosted automation, on-prem AI models, or in your own cloud. We design around your compliance posture, whether that is GDPR, HIPAA, or sector-specific.
Monitoring and fallbacks
Every step that can fail is watched, and the failure path is defined before launch, so a problem surfaces as an alert rather than as a customer telling you about it.
A team that can run it
We train the people who use it day to day, inside the workflow itself, so the build does not quietly depend on one person remembering how it was put together.
One accountable team
The same team handles the site, the domain, the DNS, the mailboxes, and the automation. When a problem lives between two systems, you get a fix instead of a conference call.
Who This Is For
Automation earns its money where work is repetitive, high-volume, and low-judgment. Here is where we are useful, and where we are not.
A good fit if
- Someone on your team moves the same data between two systems every day.
- Leads arrive faster than anyone can enrich, route, and follow up on them.
- The support inbox has to be sorted by hand before anybody can answer it.
- Monthly reporting is assembled from several platforms by one person and a spreadsheet.
- Staff keep asking questions that are already answered in documents nobody reads.
- You want an assistant grounded in your own material, not a general-purpose chatbot.
- Your data is sensitive enough that the workflow needs to run on your own infrastructure.
- You have connected tools together before, but nobody owns the result and no one can explain what it does now.
Not what we do
- Replace your team. The work we build augments your team, handling the repetitive, low-judgment parts so people can focus on what actually needs them.
- Cold outreach machinery. We run email programs to lists that have opted in. For cold outbound we recommend a separate infrastructure approach and are happy to advise at consultation.
- Guaranteed model accuracy. We benchmark, test against your real cases, and report what we find. We do not promise a number that no model vendor promises either.
- Proof-of-concept theater. Prototypes are tested against real use cases from your business rather than synthetic demos, and something we would not run ourselves does not ship.
- Silent changes. Nothing gets built, connected, or given access to your systems without a written scope and a fixed price agreed first.
Automation Engagements
Starter ranges below. You get a fixed-price quote at the free consultation, in writing, before any work starts — no hourly-billing surprises, no scope creep.
Scoped Build
from $3,500
One workflow taken from mapped process to running system, with the documentation to keep it running.
- One workflow or copilot
- 1–2 week build cycle
- Production-ready with monitoring
- Team handover + documentation
Multi-Workflow Engagement
quoted to scope
For operations where several processes are connected and fixing one in isolation moves the bottleneck rather than removing it.
- Multiple automations + AI assistants
- Self-hosted options for sensitive data
- Iterative shipping over 4–8 weeks
- Optional ongoing retainer
Third-party costs are passed through at cost: AI API usage, hosting upgrades, premium plugins, premium platforms. We list these transparently in every quote. For larger engagements (typically $5,000+) we split into milestone payments. We routinely start clients on a single project and grow from there — no long-term commitment required. Full pricing.
Automation Work in Context
Problem. Fix. Outcome. Two engagements where the automation was one layer of a larger technical job.
Aquatic Services · United Kingdom
Poolseidon
Workflow automation built alongside a custom app and the email records underneath it.
Multiple technical needs were building up across operations and customer experience. We built a custom mobile-first web app, automated the workflows around it, and resolved SPF, DKIM, and DMARC on the domain. The client kept returning for follow-on work across four engagements, with one technical partner handling the app, automation, and infrastructure together.
Read case study →Manufacturing · International
Emerging Components
Automation handled as part of one operating system rather than a separate project.
Too many connected technical needs were at risk of becoming fragmented and expensive. We handled migration, deliverability, web, and automation work as one operating system. The client received year-round delivery across four projects, with fewer handoff points and a more coherent technical foundation for future work.
Read case study →Frequently Asked Questions
Will AI replace my team?
No. The work we build augments your team, handling the repetitive, low-judgment parts so people can focus on what actually needs them.
What about data privacy?
Sensitive workflows can run on self-hosted automation, on-prem AI models, or in your own cloud. We design around your compliance posture, whether that is GDPR, HIPAA, or sector-specific.
Can you train AI on our private data?
Yes. We often use retrieval-augmented generation so your data stays in your own vector store and only the relevant chunks ever touch a model. We can also work with fine-tuned models when the use case warrants it.
Where does the AI come from?
We select the model per use case rather than committing you to one provider, including open-source models where they are the better fit. We benchmark for accuracy, cost, and latency at build time and explain the choice in writing.
What does this typically cost?
Most engagements start with a scoped build followed by an optional retainer for monitoring and iteration. Pricing depends on integrations and AI usage, and we give you a fixed quote after the consultation.
How long does a build take?
A scoped build — one workflow or one copilot — runs on a 1–2 week build cycle. Multi-workflow engagements ship iteratively over 4–8 weeks, so the first automation is live while the next is still being built. You get a firm timeline at the consultation, alongside the scope.
Will I receive a written scope?
Yes. Custom work starts with a clear recommendation, scope and price in writing. That covers which steps are being automated, which are deliberately left with a person, and what each integration is allowed to do.
Can you work with our existing setup?
Usually. We assess the current platform and recommend keeping, improving or replacing it based on evidence. If you already have automations running, we would rather document and repair what works than rebuild it for the sake of it.
What happens when a workflow breaks?
Monitoring and fallback paths are part of shipping, not an upgrade. Every step that can fail is watched, so a failure surfaces as an alert instead of a silent gap someone notices a week later. Ongoing monitoring and iteration are available as a retainer, and the response expectations are written into it before it starts.
Do you offer monthly retainers?
Yes. Maintenance, SEO, deliverability monitoring, email programs, and AI automation iteration are all available on monthly retainers. Most clients move from a one-off project to a retainer once the initial work is live.
What’s not included in the figures above?
Third-party costs are passed through at cost: domains, hosting upgrades, ad budgets, AI API usage, premium plugins, premium email platforms. We list these transparently in every quote.
Can we start small?
Yes. We routinely start clients on a single project — one workflow, one assistant, one reporting pipeline — and grow from there. No long-term commitment required.
What happens during the free consultation?
In 30 minutes we dig into your goals, current challenges, and a quick-win plan you can act on. There’s no obligation to hire us; just practical, tailored advice. If the workflow you have in mind is not worth automating, we will tell you that too.
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