No clear starting point
Dozens of ideas, no evidence on which will pay off — so nothing gets prioritized.
What it costs youBudget spent on the wrong pilots
AI consulting · Implementation · Training
Yan Soft Labs is the AI consulting, implementation and training partner for growing companies and enterprise teams. We audit your operations, shape your AI strategy, build agentic AI and automation workflows — and train your people to run them.
Vendor-neutral across the platforms you already run — technologies, not client logos
OpenAI, Anthropic Claude, Google Gemini, Mistral, Open-weight models, HubSpot, Salesforce, Pipedrive, Zoho CRM, Zendesk, Intercom, Freshdesk, Gorgias, Google Workspace, Microsoft 365, Slack, Microsoft Teams, Notion, QuickBooks, Xero, NetSuite, Stripe, Shopify, WooCommerce, BigCommerce, n8n, Make, Zapier, Power Automate, PostgreSQL, BigQuery, Snowflake, AWS, Azure, Google Cloud
One partner, three disciplines
Most AI programs stall in the hand-offs — between the strategy firm, the vendor and the people expected to use the result. We cover all three, so nothing gets lost.
We audit processes, data, systems and skills, then turn the evidence into an AI strategy, governance model and roadmap your leadership can back.
After consulting and scoping, we build AI agents, agent workflows, automations and integrations — tested on your real examples, governed, monitored and handed over.
Practical AI training for leaders, every team and internal builders — on your own tools and workflows — so adoption sticks and capability stays in-house.
The problem
The technology is ready. What’s usually missing is clarity on where to start, systems that work in production, and people equipped to use them.
Dozens of ideas, no evidence on which will pay off — so nothing gets prioritized.
What it costs youBudget spent on the wrong pilots
Impressive demos that lack integration, security, testing and an owner.
What it costs youStalled momentum and sceptical leadership
Copy-paste, inbox triage and spreadsheet reporting eat skilled people’s week.
What it costs youSlow responses and costly errors
Licenses bought, adoption low, and unsafe use of public tools.
What it costs youWasted spend and data risk
Capabilities
Strategy, audit, agentic AI, automation, generative AI and training — delivered by one accountable team.
Specialist agents that reason, use your tools and hand off to people at the right moment.
Evidence first: readiness, opportunities and risk — scored.
Leaders, teams and builders — hands-on, on your tools.
Agents, people and systems connected in one governed flow.
Roadmap, operating model and responsible-AI policy.
Grounded answers and drafts with sources you can verify.
How we engage
We never automate a process we haven’t understood. Every engagement starts with a conversation and an audit, so what we implement — and what we train — is grounded in evidence.
A strategy call to understand your goals, constraints and where AI might help. No sales script, no build talk yet.
We map processes, data, systems and skills, and score every opportunity by value, effort and risk.
About the AI auditPriorities, governance, architecture and success measures agreed in writing — you decide what gets built.
Agentic AI, automations and integrations built in focused sprints, tested on your real examples.
Leaders, teams and builders trained to use, supervise and improve what was built.
About AI trainingMeasure against the baseline, improve, and expand to the next priority on the roadmap.
Agentic AI in practice
Not one “do-everything” bot — focused agents with narrow permissions and a named human checkpoint, customized to your workflow after the audit.
Sales & client intake
Reads every inbound inquiry, qualifies it against your criteria, enriches the record and books the right next step.
Rep approves replies to new accounts
Customer support
Classifies tickets, pulls order and account context, resolves routine requests and prepares the rest for your team.
Refunds above a threshold need approval
Finance & operations
Extracts and validates data from invoices, applications and forms, then files it in the right system.
Low-confidence fields go to review
Sales & strategy
Builds account briefs and market summaries from approved sources, with citations for every claim.
Analyst reviews before sharing
Leadership & ops
Compiles recurring reports from live data and writes the commentary your managers used to write by hand.
Owner signs off monthly packs
Whole company
Answers staff questions from your policies and procedures, and shows where each answer came from.
Respects document permissions
Free self-assessment
Six quick questions. You’ll get a readiness profile across strategy, processes, data, systems, skills and governance — and the engagement we’d recommend as your first step.
Before vs after
Before: Scattered pilots and opinions; no agreed priorities or policy.
After: An evidence-based roadmap, governance and owners for every initiative.
Before: Read when someone has time; details copied into the CRM by hand.
After: Qualified, enriched and answered by an agent; reps approve and focus on conversations.
Before: Details re-typed from PDFs; Friday afternoons lost to spreadsheets.
After: Fields extracted and matched; reports compiled with a first-draft commentary.
Before: Licenses unused; staff unsure what’s safe.
After: Confident, trained teams and internal champions who build their own workflows.
How agentic AI works
A business event arrives, an AI agent interprets it within your rules, your tools are updated, and one clear outcome is delivered — with a person in the loop wherever it matters.
AI training
Training is not an add-on. It’s how AI adoption sticks. Every program is built around your tools, your policies and real work from your teams.
AI opportunity, risk and governance for leadership teams and boards.
ExploreRole-based, hands-on workflows for sales, ops, finance, HR and support.
ExploreDesign, build, test and govern AI agents and automation workflows.
ExploreInternal AI champions who keep capability growing after we leave.
ExploreIndustries

Client intake agent · Proposal & report drafting
Explore
Customer support agent · Catalog content automation
Explore
Document intake & extraction · Onboarding orchestration
Explore
Patient inquiry assistant · Referral & form processing
Explore
Lead response & qualification agent · Listing content assistant
Explore
Shipping document processing · Proactive status updates
ExploreIntegration ecosystem
No rip-and-replace. Agents and automations read from and act in your existing CRM, helpdesk, finance, documents and data — through secure, least-privilege integrations.
Business outcomes
We agree the measures with you before we build or train — and capture a baseline so results can be compared honestly.
Investment directed by evidence, not hype — with governance leadership trusts.
Hours of copy-paste, sorting and re-typing handled by agents and automation.
Leads, customers and colleagues answered while it still matters.
More volume handled without adding the same amount of admin.
Trained teams and champions who use and improve AI every day.
Clear policy, human checkpoints and audit trails across every system.
Why Yan Soft Labs
How our model compares with the usual ways companies source AI help.
| Capability | Yan Soft Labs | Strategy-only consultancy | Tool vendor / platform | Freelance builder |
|---|---|---|---|---|
| Independent AI audit & strategy | Yes | Yes | No | Partial |
| Builds production agentic AI & automation | Yes | Partial | Partial | Yes |
| Trains your teams to own it | Yes | Partial | Partial | No |
| Vendor-neutral recommendations | Yes | Yes | No | Partial |
| Governance & human-in-the-loop by design | Yes | Partial | Partial | No |
| You own the code and documentation | Yes | n/a | No | Partial |
Ways to work with us
Readiness baseline, scored opportunity map and a recommended first project.
Explore the auditUse-case portfolio, operating model, governance and a phased, funded plan.
Explore strategyAgentic AI, automation and integrations built, tested and deployed in focused sprints.
Explore implementationExecutive briefings, team workshops and hands-on builder labs on your own tools.
Explore trainingMonitoring, evaluation, improvements and office hours after go-live.
Talk to usSolution blueprints
We publish client case studies only with permission and verified numbers. Until then, these blueprints show exactly how we approach common problems — and what we measure.
Inbound inquiries arrive through a web form, email and LinkedIn. A partner reads them when they can, often a day later, and copies details into the CRM by hand.
Learn moreA finance team receives supplier invoices as PDFs in a shared inbox, keys them into the accounting system and chases approvals over email.
Learn moreA small support team spends most of its day on order-status, returns and delivery questions, leaving complex cases waiting.
Learn moreFAQ
Both. We work with growth-focused SMBs, mid-market firms and enterprise teams. The audit scales to the size of your organization.
No. We start with an audit and a strategy to make sure AI is applied where it actually makes sense. Sometimes the right answer is a simple workflow automation — or a process change with no AI at all.
No. We design AI to augment people — taking on repetitive work so your team can focus on customers, judgment and higher-value tasks.
Typically one to three weeks, depending on the number of teams, processes and systems involved.
Workflow automation follows fixed rules to move data between systems. AI agents can interpret unstructured inputs and decide the next step within the limits you set. Most production systems combine both.
We are tool- and model-agnostic: leading LLM providers such as OpenAI, Anthropic and Google, automation platforms such as n8n, Make and Zapier, and custom code when needed — connected to your existing CRM, helpdesk, ERP and data.
We follow least-privilege access, minimize the data AI models see, choose provider configurations that do not train on your data where available, log every automated action, and document where data is processed.
Yes. We run executive AI briefings, role-based generative AI workshops for every team, and hands-on agentic AI and automation labs for builders — customized to your tools, processes and policies.
No. Every implementation starts with consulting: we understand your goals, audit the relevant processes and agree scope and success measures before anything is built.
You do. We hand over code, configuration and documentation, and train your team so you are not dependent on us.
Book a free 30-minute strategy call. We’ll discuss your goals, tell you honestly where AI fits — and where it doesn’t — and outline the right first step: an audit, a training program or an implementation.