Agenticsis

AI Agentic Systems Consultancy · Zurich

We Bring AI Into Your Business

From automating your first inbox routine to deploying multi-agent systems that run entire business functions, Agenticsis maps what's possible and builds what's practical for you.

Run Your AI Audit NowWhat we build

Takes only 5 minutes - no signup required

Example report

Readiness

46

Quick Wins

Automation

90

310h/mo

Savings

CHF17,050

per month

Your Recommendations

AI Customer Support
2-3 wks
Lead Scoring Agent
2-3 wks
Email Automation
3 wks

How We Help You

We help companies replace manual work, slow decisions, and operational drag with AI systems that actually run. Every engagement starts with a free call and a Discovery phase, where the AI Business Audit can be the deliverable. Then we build and deploy, and stay with you if you choose ongoing care.

A structured way to start

The AI Business Audit

A structured diagnostic across 8 readiness pillars that tells you, with quantified ROI, where AI fits in your business and in what order to deploy it. Built on public frameworks (NIST AI RMF, ISO/IEC 42001, MIT CISR) and delivered in 2 to 8 weeks at SMB pricing. Start with the free 5-minute self-serve diagnostic, or scope a full audit with us.

See the full audit methodologyRun the free 5-min audit
8Readiness pillars scored, no single-score compression
5Layers of ROI quantified per recommendation
6Methodology steps aligned with NIST AI RMF, ISO 42001, EU AI Act

Then we build what the audit recommends

Three engagement tracks, sequenced by maturity

Once Discovery or the audit identifies what to build and in what order, we deliver across three engagement tracks. We usually recommend starting with one simple automation, then expanding.

Simple Automations

Email prioritization, CRM updates, invoice parsing, scheduling, social media. The right starting point if you are new to AI.

3 to 6 weeks to production

AI Agents & Workflows

Customer support bots, lead qualification agents, content engines, internal knowledge assistants. Multi-step processes that handle context and edge cases.

6 to 10 weeks to production

Agentic Systems

Interconnected AI that coordinates across departments, handles exceptions autonomously, and reduces manual oversight at scale. For businesses that have already automated individual tasks.

10 to 16 weeks to production

What we build

Pick the part of your business that loses the most time

Every example is a starting point. In the discovery call we map your real process, your systems and your data, and build the version that fits.

2 examples for Operations.

Morning delivery plan

OperationsLogisticsManufacturingRetail and e-commerce
Example we can build

Every morning a planner rebuilds the day by hand from the order system, supplier emails and customer time windows. Late changes get missed until a truck has left.

Every weekday 05:30

What goes in

Order databaseyour ERP or order system
Supplier emailsdelays and changed quantities
Delivery windowsper customer
Fleet and capacityvehicles, drivers, shifts

What the agent does

  1. 1Collects new and changed orders since yesterday
  2. 2Reads supplier emails for delays
  3. 3Builds routes within capacity and time windows
  4. 4Marks every order at risk, with the reason

The planner approves or edits the plan

What comes out

Delivery plan, Tue 13 Octready 06:41
Orders planned48
Routes6
Within time window45
At risk: supplier delay3

In the planner's inbox before 07:00.

Usually starts asPilot
Time to first run4 to 6 weeks

Production order intake

OperationsManufacturing
Example we can build

Customer orders arrive as PDFs in different layouts. Planners retype them into the ERP and check capacity by hand before confirming a date.

New email in orders@

What goes in

Customer ordersPDF in any layout
Item masterpart numbers and routings
Capacity calendarmachines and shifts

What the agent does

  1. 1Reads the order and maps customer part numbers to yours
  2. 2Checks capacity for each line
  3. 3Proposes a delivery date
  4. 4Drafts the order confirmation

The scheduler confirms the date

What comes out

Order confirmation draftdrafted 10:05
Lines read7
Mapped to your parts7 of 7
Proposed delivery28 Oct
Line 4 exceeds capacitysplit delivery?

A draft order waits in your ERP for the scheduler.

Usually starts asPilot
Time to first run4 to 6 weeks

How we work

Four phases, and every phase ends with something you keep

After a free 45-minute call we start with discovery, test one agent on one process, and then you decide.

Phase 1

Discovery

1 to 2 weeks

  • Your process mapped step by step
  • A check of the data and systems involved
  • The agents worth building, ranked by effort and value

You keep: a written proposal for the next phase.

Phase 2

Pilot agent

3 to 6 weeks

  • One agent on one process
  • Built on your real data
  • Runs alongside your team, with approval steps

You keep: a working agent and a decision based on how it ran.

Phase 3

Production system

6 to 16 weeks

  • Several agents working together
  • Connected to your systems
  • Monitoring, handover and training

You keep: the system, its code and its documentation.

Ongoing

Care

Optional, cancel monthly

  • Monitoring and fixes
  • Model updates
  • Small extensions

AI usage is billed at cost, on its own line.

Our project bands next to a typical Swiss agency

CHF per project, log scale. Swiss agency ranges from our 2026 market research (20 sources).

1k5k20k80k250kSmallone workflow, portal or dashboard1.5k to 5kStandardseveral systems connected5k to 12kAdvancedAI assistant on your documents12k to 25kComplexmulti-channel, several agents25k to 80k
AgenticsisTypical Swiss agency

What shapes each project

We name these in the proposal, so the scope is clear from the start.

Systems to connectOne inbox is quicker than an ERP, a CRM and a shop together.
State of the dataClean exports go fast. Scanned PDFs and hand-kept spreadsheets take longer.
Your customers' languagesGerman, French, Italian and English answers each need testing.
Approval stepsWhere a person signs off, we build the screen for it.
Founder's Perspective
“The companies that win with AI in the next three years won't be the ones with the biggest budgets. They'll be the ones that started with one specific problem and built from there. We call this AI mainstreaming: making the technology practical, accessible, and actually used.”
Sofía Salazar Mora, Founder & AI Systems Strategist, Agenticsis

Sofía Salazar Mora

Founder & AI Systems Strategist

Meet the team behind Agenticsis

How We Work With You

We start with your business, not with technology. Our process is designed to deliver something working quickly - not a 6-month project before you see results.

1

We map your business first

In a free 45-minute call, we identify your biggest time sinks and bottlenecks. No pitch deck - just an honest conversation about where AI can actually help, and where it can't.

2

We build in short cycles

We start with a pilot: one agent on one process, built on your real data. You see it working in weekly demos and test the results before committing to a full rollout. If something doesn't fit, we adjust early.

3

We deploy and stay with you

Once live, we hand over the system, its code and its documentation, and train your team. If you want us to keep monitoring, fixing and extending it, the optional Care phase covers that, cancellable monthly.

Data processed under GDPR and Swiss FADPEvery engagement follows the EU GDPR and the Swiss FADP. Our sub-processors are listed openly on our Sub-processors page.
You own what we buildCode, workflows and documentation are handed over to you.
When we are not a fitIf a simple rule or an existing tool solves it, we tell you in the first call.

Quick Answers

Direct answers to the questions clients ask before our first call.

Quick Answer

What is an AI agent, and how is it different from regular automation?

Regular automation follows fixed rules: if X happens, do Y. An AI agent reads context, makes decisions, and handles situations that were not pre-programmed. Example: a scheduling automation blocks time in your calendar. An AI scheduling agent reads the email, understands the urgency, checks your preferences, proposes the best slot, and sends the reply itself.

Quick Answer

How long does it take to deploy an AI agent or automation?

It starts with a free 45-minute call. Discovery then takes 1 to 2 weeks, a pilot agent on one process 3 to 6 weeks, and a production system with several connected agents 6 to 16 weeks. During the pilot you see the agent working in weekly demos, so you can redirect before we have built the wrong thing.

Quick Answer

What does the AI business audit actually deliver?

An AI system inventory aligned with EU AI Act Annex IV, an 8-pillar maturity scorecard, a risk and compliance evaluation against NIST AI RMF and ISO/IEC 42001, an opportunity matrix with 5-layer ROI per recommendation, a phased 6 to 12 month implementation roadmap, and a governance framework with decision rights and three-line oversight. Initial assessments run 2 to 8 weeks depending on size and regulatory complexity, then subsequent transformation work extends 12 to 36 months.

Frequently Asked Questions

Everything you need to know about AI agents and Answer Engine Optimization.

How do I get started with AI automation for my business?

The easiest way is to book a free 45-minute call with us. We'll identify your biggest time-consuming tasks and show you exactly what could be automated, no jargon, no pitch deck. We recommend starting with one specific problem: a repetitive email process, a manual data-entry step, or a customer question that gets asked 50 times a week. You don't need an AI strategy or a technical team to begin.

How do I choose the right AI agency for my business?

Look for three things: (1) Do they start with your business problem or with technology? An agency that leads with 'we use GPT-4' is selling tools, not solutions. (2) Do they test one agent on one process with your real data first, rather than starting with a 6-month roadmap? (3) Can they support the system after deployment? AI systems need maintenance and adaptation. At Agenticsis, every project starts with a short Discovery and a pilot, every agent has a clear escalation path, and maintenance after handover is available as the optional Care phase.

Do I need to be a large company to work with Agenticsis?

No. We work with businesses of all sizes, from solo consultants to teams of 200. We recommend starting with a single automation. A first automation typically targets 5 to 10 hours of manual work per week, an estimate we check against your own process before we build. You don't need an AI strategy or a technical team to get started.

What is the difference between a simple automation and an AI agent?

A simple automation follows fixed rules: if an invoice arrives, file it in folder X. An AI agent can reason: it reads the invoice, identifies the supplier, checks for discrepancies against your records, and flags anything unusual for your review. Agents handle the grey areas that automation can't.

How quickly will I see results?

It starts with a free 45-minute call. Discovery then takes 1 to 2 weeks, a pilot agent on one process 3 to 6 weeks, and a production system with several connected agents 6 to 16 weeks. During the pilot you see the agent working in weekly demos, so you can redirect before we have built the wrong thing.

What tools and software do you integrate with?

We integrate with the tools your team already uses - HubSpot, Salesforce, Notion, Slack, Gmail, WhatsApp, WordPress, Shopify, and most European business software. If it has an API, we can connect to it. We build around your stack, not the other way around.

Do I need technical staff to maintain an AI system after deployment?

No. After handover your team uses the system, and we provide onboarding so your staff understands what it does and when to escalate to a human. If you want us to handle the upkeep, the optional Care phase covers monitoring, fixes and model updates.

Is my data safe when using Agenticsis AI agents?

Yes. We are based in Switzerland and every engagement follows the EU GDPR and the Swiss FADP. Data is stored securely and encrypted in transit and at rest, and we never sell client data. We share data only with the sub-processors listed on our Sub-processors page. Our security practices include least-privilege access policies and continuous monitoring.

Not sure where to start? That's exactly why we offer a free call.

We'll spend 45 minutes understanding your business. No pitch, no generic demos. Just an honest conversation about what's possible - and what's worth doing first.

Run Your AI Audit NowBook a Free Consultation