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AI consulting · Sion, Valais

Services

AI consulting, automation and tailor-made agents for SMEs — with a realistic framework (AI audit) and a budget reading (AI project costs in Switzerland). By sector: see also industry solutions.

01

AI Opportunity Audit

We map flows, irritants and prioritize AI initiatives with the best impact/feasibility ratio.

02

AI agents & internal tools

Tailored wizards and agents to accelerate execution, standardize responses and reduce manual overhead.

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03

Workflow automation

We connect emails, documents, forms and data so that reminders and follow-ups move forward without friction.

04

AI strategy & governance

Roadmap, indicators, safeguards and phasing to adopt AI without dispersion or unnecessary risks.

05

Interfaces & experience

When a feed deserves a screen, we design clear interfaces that build credibility and adoption.

06

Training & accreditation

We help management and teams to frame usage, good practices and skills development after the pilots.

Positioning

What differentiates us from chatbots and traditional agencies

Some of the providers who talk about “AI” in Valais focus on website chatbots or no-code channels (Make, n8n) without deep access to your systems. These approaches have their place for simple or peripheral needs.

PG Management deploys AI agents autonomous on an explicit technical stack — Python, FastAPI, multi-agent orchestration when the scope requires it. The practical difference: Our agents don't just answer questions on a showcase page; they can chain actions in your business tools (CRM, accounting, messaging) when the APIs and safeguards allow it.

We remain in an agency register: no magic promise, but flow mapping, acceptance criteria and a supervised test phase before any autonomy. To compare options without business jargon, here are three helpful reads:

THE completion of a mandate and our AI audit complete this overview.

How we work

Structured enough to create momentum, flexible enough to adapt to your reality.

Phase 1
Diagnostic workshop
Processes, pain points, tools and business objectives to identify where AI helps first.
Phase 2
Case selection
We classify initiatives according to effort, impact and operational maturity.
Phase 3
Delivery
Implementing the highest value systems with a usable and credible experience.
Phase 4
Extension
Once we see traction, we expand to adjacent workflows and higher-value cases.
Ground

Key figures observed on our deployments

The orders of magnitude below reflect what we regularly measure in mandate; they do not constitute a contractual guarantee and depend on the targeted process.

  • Often 15 to 20 hours per week recovered in full-time equivalent when the pilot concerns a high-volume administrative or commercial flow.
  • A Significantly positive return on investment in the first 90 days is common when the use case is well defined; internally we commonly see ratios of the order of 300% to 800% over the period, according to the avoided loaded salary and the automated scope.
  • In practice, count about four weeks from structured diagnosis to the first agent in production; simple cases can go down to two weeks.
  • Implementation aligned with the nFADP and, when you want, accommodation in Switzerland exclusively for data processed by our agents.
  • More than 50 sectoral pages detailing use cases by profession: consult the industry solutions.

For the budget and AI employee logic, see also the comparison of AI employee cost vs employee.

Need guidance?

Start with auditing: It's the cleanest way to know what to automate — and what to leave as is.

Sorting

Not everything has to become AI: let's isolate the irritants where the ROI is measured without background noise.