Agentic Systems for Your Operations
Workflows and AI agents built as one system: deterministic wiring where the rule is stable, interpretation where the input is messy, and a human in the loop wherever it matters. Connected to the tools you already run, not another app to open.
Built by the person who runs it in production
Cloud and DevOps engineering in a fast-scaling startup before AI engineering, which means I care about what happens when a step fails at 2am, not just about the happy path in the demo. Same person scopes, builds and hands it over.
Antoine Pedretti, Founder, Helmo Solutions, agentic systems, context engineering & AI training
Why this way
The cheaper mode that works, inside your tools, bounded on purpose
Wiring or interpretation
No AI where a plain rule does the job
Runs where you already work
Email, CRM, Drive, Slack, ERP, invoicing
Rules written before the build
Sensitive decisions escalate, never improvise
Documented and handed over
Self-hostable, no per-task pricing ceiling
Know the task you want gone?
Book a free 20-minute call, we'll decide together whether it's a workflow, an agent, both, or honestly none of the three yet.
What is an agentic system?
An agentic system is the execution layer between your tools and your team: it is triggered by real business events, moves and transforms information across the software you already run, interprets input that isn't structured enough for a plain rule, and stops for a human before anything sensitive is committed. It covers both ends of a spectrum, deterministic workflow automation and AI agents that read and judge, because in practice a single useful system usually needs some of each.
The distinction that matters isn't the technology, it's the input. When the trigger is clear and the rule stable, wiring it deterministically is cheaper, faster and more reliable than involving a model. When the input arrives as an email, a photo of field notes or a messy document, something has to interpret it before any rule can apply. Deciding which half of that line a task falls on is the first real piece of work.
Why these used to be two services and aren't anymore
Workflow automation and custom AI agents were sold separately across the market, which pushes buyers into picking a technology before they've described the problem. It produces agents doing work a five-step automation would have done more reliably, and rigid automations breaking on the first email that doesn't fit the template.
They're one engagement here. You describe the task; the routing to workflow, agent or a combination of both happens during scoping, and the cheaper option that actually works is the one you get. That recommendation costs you nothing and sometimes concludes that neither is the right move yet.
Two modes
The line that decides what your system costs
Same engagement, two modes. Which one applies is decided by your input, not by what sounds more advanced and plenty of systems run both, with a wired backbone and one interpreting step in the middle.
Deterministic workflow
The trigger is clear, the rule is stable, the action repeats identically
- No judgment call needed at any step
- Cheaper to build, faster to run, easier to verify
- Fails loudly and predictably when a tool changes
- n8n backbone, self-hostable, no per-task pricing
A deal is marked won → the invoice is created, sent and scheduled for follow-up.
Interpreting agent
The input is unstructured, emails, notes, documents and needs reading before acting
- Understands what the request is and how urgent it is
- Handles the cases a template would break on
- Bounded by written rules; escalates rather than guesses
- Costs more to build and needs real-case testing
A client email arrives → it's qualified, researched, drafted as a reply, and queued for your approval.
If a workflow is enough, that's what I'll recommend, it's cheaper and more reliable, and the scoping call exists precisely to route you to the right answer, including the boring one.
What's in it
Six moving parts
Whatever mode a system lands in, it's assembled from the same six pieces. The spec written before the build says exactly which ones your case needs and what each is allowed to do.
Tool connections
Official APIs into email, CRM, Drive, Slack, ERP and invoicing, with the minimum permissions the job needs.
Event triggers
A new lead, a client email, field notes, a signed contract, an overdue invoice, real business events.
Interpretation
Where the input is messy: what the request actually is, how urgent, and what's missing from it.
Business rules
The stable logic wired deterministically, routing, thresholds, sequences, no model involved.
Guardrails
Which decisions always reach a human, which data is off-limits, written down before the build.
Monitoring
Errors surface in the channel you actually watch, with the context needed to act on them.
Orchestrated on n8n, self-hostable when your data shouldn't leave your infrastructure, with Postgres or Supabase behind it when a system needs its own reliable store.
Use cases
Where systems earn their keep
Each of these is a real shape of work, tagged with the mode it usually lands in. Yours will differ in the details, that's what scoping is for.
Inbound lead qualification
Inquiries arrive by email and form, and answering them well takes research time nobody has.
The request is qualified, the matching product or availability pulled, a draft reply prepared and the CRM task created, you validate and send.
Field notes to draft quote
Notes, photos and measurements from the field pile up before anyone turns them into a quote.
Raw inputs are consolidated into a structured draft, the gaps are flagged, and it reaches you for review instead of retyping.
Request triage without silence
Urgent and trivial requests land in the same inbox; urgent ones wait, clients hear nothing.
Requests are triaged by urgency, a holding reply goes out, the right person is notified, and clients stay informed while the real work happens.
Invoice follows the closed deal
A deal is marked won, then someone has to remember to create and send the invoice.
The won deal triggers invoice creation, the send and the follow-up schedule, with an audit trail.
End of double data entry
The same client info is typed into the CRM, the invoicing tool and a spreadsheet.
One entry point; the system propagates it and keeps the tools in sync both ways.
Onboarding without missed steps
Each new client onboarding depends on someone remembering all seven steps.
A signed contract fires the sequence: accounts, folders, welcome email, kickoff task, every time.
Numbers without the CSV ritual
The weekly report means exporting three CSVs and rebuilding the same spreadsheet.
The numbers are assembled from the source tools and the report lands where you actually read it.
Documents filed where they belong
Attachments and scans pile up in inboxes until someone sorts them.
Incoming documents are classified by an agent, then renamed, filed and linked to the right client record by the wiring.
Overdue invoices chased properly
Reminders need chasing on time, but each one should account for the client relationship.
Due dates are watched by the workflow; the message is drafted per client by the agent, and nothing sends without your validation.
Fit
Is this the right entry point?
Good timing if
- One person is the human bridge between email, CRM, quotes and follow-ups
- You can name the workflow that annoys you, it happens every week, identically
- Data is re-typed from one tool into another somewhere in your company
- You want one concrete win before any broad AI strategy
Better to start elsewhere if
- The process itself is unclear, nobody can describe it end to end
- The critical information only exists in people's heads and conversations
- You're looking for a system that decides autonomously with no human in the loop
Your situation
Which describes you best?
“One person is the bridge between all our tools”
Owner watching a key person spend their week on copy-paste and follow-ups
“I can name the task that annoys me every single week”
Ops or office manager with one clear, repeating process to remove
“We tried ChatGPT, it drafts, but nothing actually moves”
Team that has hit the ceiling of a chat window and needs execution
Not sure whether it's a workflow or an agent?
That's the question the scoping call answers, and you don't need to answer it first. Describe the task in a few lines, you'll get an honest route, including 'neither of these yet' when that's the truth.
Method
How the engagement runs
- 01
Scoping call
Twenty minutes to pick one task worth removing, not ten.
- 02
Route it honestly
Workflow, agent, both or neither. The cheaper option that works is the one you get.
- 03
Spec and boundaries
Which data, which rules, which decisions require a human, with scope, architecture and costs written before any build starts.
- 04
Build and test on real cases
Developed with validation checkpoints against your actual inputs, not against demos.
- 05
Deploy and transfer
Production rollout, documentation, handover session and 30 days of follow-up.
Aftercare
You choose how much of the technical load you carry
A system in production needs somewhere to run and someone to notice when it breaks. Three ways to arrange that, decided at handover rather than up front.
Autonomy
You own it end to end
- Commitment
- No ongoing commitment
- Hosting
- Your infrastructure
- Ideal for
- Teams with someone technical who will operate and adjust it
- Deployed on your infrastructure, under your accounts
- Architecture, triggers and boundaries fully documented
- Handover session for the people who'll run it
- Yours to change without asking anyone
Hosted
RecommendedI keep the lights on
- Commitment
- 3-month minimum
- Hosting
- My infrastructure, monitored
- Ideal for
- Teams who want it reliable without owning the plumbing
- Monitoring and alerting included
- Fixes when a connector or API changes under you
- Evolution requests are the normal rhythm
- Everything in Autonomy
All-inclusive
One invoice, nothing to manage
- Commitment
- 3-month minimum
- Hosting
- My infrastructure and API keys
- Ideal for
- Non-technical teams who want a single point of contact
- My API keys, no vendor accounts to open or top up
- One invoice covering runtime, models and maintenance
- Continuous tuning as your process evolves
- Everything in Hosted
Aftercare is decided at handover, not at signature, by then you'll know how much the system actually moves.
Scoping & investment
What shapes the work
What shapes the investment
- Mode
- deterministic wiring, an interpreting agent, or a system combining both
- Tools
- how many systems are involved, and how cooperative their APIs are
- Boundaries
- how much validation, escalation and error handling the case demands
- Aftercare
- autonomy, hosted or all-inclusive
What you have at the end
- A system in production. Deployed, tested on your real cases, connected to the tools you already use.
- Complete documentation. Architecture, triggers, rules and boundaries, written for your team, not for me.
- A handover session. Your team knows how it works, how to check it, and how to change what it's allowed to do.
- 30 days of adjustment. Real usage always surfaces refinements. Closing them is part of the delivery.
No public price list, a single clear flow runs a few days to a week, a focused agent one to two weeks, and a multi-tool system with interpretation and validation three to five weeks. The spec and quote come before any build, so nothing is committed on a guess.
Quick definition
What is an agentic system?
An agentic system is the execution layer between your tools and your team: triggered by real business events, it moves information across the software you already run, interprets input too messy for a plain rule, and escalates to a human before anything sensitive is committed. Helmo Solutions builds both modes, deterministic workflow automation and interpreting AI agents, as one engagement, routing each task to the cheaper option that actually works.
FAQ
The questions everyone asks first
Describe your situation in a few lines, no commitment. Twenty minutes is enough to know whether there's a system worth building, and which door to take first. Or send me a message.