Put AI to work across your whole business
We help your existing business adopt AI where it actually moves the numbers, wired into the tools, data and workflows your team already uses, not another demo that dies in a slide deck. Start with a readiness assessment and a low-risk pilot, then scale what works with monitoring and governance in place.
- Pilot before you commit budget
- Connected to your own systems & data
- OpenAI, Claude & open-source models
- Governed, secure, audit-ready
Powered by a best-in-class stack
Most AI projects die in a slide deck.
We wire AI into the data, tools and workflows your business already runs — piloted on your reality, governed from day one, and owned entirely by you.
Built to perform
The fundamentals we get right on every build — so what we ship keeps working long after launch.
Strategy before spend
We map your operations to the use cases with the highest impact-times-feasibility and tie each one to a KPI before a single line is built.
AI that knows your business
We connect LLMs to your own documents, databases and apps through RAG, vector search and MCP, so answers come from your data, not a generic model's guesswork.
Governed and secure by default
Access controls, encryption, acceptable-use policies and full audit trails ship with every workflow, so adoption clears IT and legal review instead of stalling in it.
Pilot first, scale what works
Every engagement starts with a low-risk proof-of-concept that measures real ROI on your own data in weeks, so you expand on evidence instead of hype.
Built for businesses ready to operationalise AI
If you have real work to automate and real data to ground it in, this is where AI stops being a demo and starts moving the numbers.
Ops-heavy teams
If manual, repetitive workflows eat your team's week, agentic automation hands those hours back.
Data-rich businesses
Sitting on documents, records and tools no one can search? RAG turns that into instant, grounded answers.
Regulated & security-conscious
Access controls, audit logs and acceptable-use policies ship in, so adoption clears IT and legal.
Scaling companies
Prove ROI on one pilot, then scale AI across departments on evidence instead of hype.
End-to-end, done for you
AI readiness assessment
We audit your data quality, tech stack, skills and governance maturity to show exactly where AI is ready to pay off and where the gaps are.
Use-case discovery & ROI modeling
Through stakeholder interviews and workflow mapping we score every opportunity by impact, value and feasibility, then build the business case.
Connect LLMs to your systems & data
We build custom RAG pipelines, vector databases and MCP servers so models can securely read your knowledge base, CRM, docs and internal tools.
Workflow & agentic automation
We automate real operational processes with agents that route tasks to the right model and take action inside the systems you already run.
LLMOps, monitoring & governance
We stand up versioning, evaluation, cost and quality monitoring, plus the acceptable-use and risk controls that keep AI safe in production.
Team training & adoption
Role-based training, prompt libraries and change management turn AI from a pilot a few people touch into a habit your whole team relies on.
Watch a manual process collapse into minutes
The same AI layer reads your data, acts inside your systems, and stays monitored — turning multi-step operations into a background task.
Agents that act
Multi-agent workflows plan, route each task to the right model, and take action inside your systems end to end.
Grounded in your data
RAG pulls every answer from your own documents and records, so the automation acts on your reality, not guesswork.
Monitored & governed
Evals, cost tracking and audit logs run on every pipeline, catching drift before your users or CFO notice.
Built on the tools your stack already speaks
We deploy on your cloud and connect AI to the models, data stores and apps you already run — nothing rebuilt, nothing locked in.
What's included
Everything you need to go from "we should use AI" to AI running safely in production, owned entirely by you.
A clear path from idea to live
No black boxes. You always know what's shipping, when, and why.
Assess
We run the readiness assessment and interview your teams to map where AI fits your data, stack and workflows.
- Readiness assessment
- Team interviews
- Data & stack audit
Prioritize
We score use cases by impact, value and feasibility, model the ROI, and agree on the one or two worth piloting first.
- Score impact & feasibility
- Model the ROI
- Pick 1–2 pilots
Pilot
We build a proof-of-concept on your real data in a controlled sandbox, so you see accuracy and ROI before committing to scale.
- PoC on your real data
- Controlled sandbox
- Measure accuracy & ROI
Integrate
We harden the winner into production, connected to your systems via RAG and MCP, with agents automating the full workflow.
- Harden to production
- RAG & MCP wiring
- Agentic workflow
Operate
We add monitoring, governance and training, then keep tuning models and expanding to the next use case.
- Monitoring & governance
- Model tuning
- Next use case
What you can count on
You own the prompts, code, pipelines & data (and any fine-tuned open-source weights)
Typical time to a live, measurable pilot
Monitoring on every agent & pipeline
Systems & data sources we connect AI to
Your systems, connected to AI the modern way
Most "GenAI" projects stop at a chat box bolted onto a public model. We wire AI into the data and tools your business already runs, so it acts on your reality, securely and under your control.
Retrieval-augmented generation
RAG grounds every answer in your own documents and records, cutting hallucinations and keeping responses current with your business.
Vector databases
We index your knowledge into Pinecone, Weaviate or pgvector so models find the right context in milliseconds across millions of records.
Model Context Protocol
MCP gives models a safe, standard way to read and act inside your CRM, docs, databases and internal apps without brittle one-off integrations.
Agentic automation
Multi-agent workflows plan, route tasks to the right model and act end-to-end, compressing multi-step processes into minutes.
Model-agnostic by design
We deploy OpenAI, Anthropic Claude and open-source models side by side, routing each task to the one that's best and cheapest for it.
LLMOps & evaluation
Automated evals, versioning and live monitoring catch quality and cost drift before your users or your CFO ever notice.
How we compare to the alternatives
There are cheaper ways to "do AI." Here's what they cost you in practice.
| What matters | Copilot licenses / DIY | Freelance AI dev | Generic consultancy | UNmiss |
|---|---|---|---|---|
| Starting point | Buy seats, hope people use them | Jump straight to building | 100-slide strategy deck | Readiness assessment and a prioritized, ROI-scored backlog |
| Connected to your data | Generic model, no context | One hard-coded integration | Advice, no implementation | Custom RAG, vector DB and MCP connectors to your real systems |
| Proof before spend | No pilot, no ROI case | A "trust me" demo | Pilot billed as a big project | Low-risk PoC on your data that measures real ROI in weeks |
| Governance & security | Your data leaves your control | Rarely considered | Framework doc, no controls | Access controls, audit logs and acceptable-use policy shipped in |
| After go-live | You're on your own | Freelancer moves on | Handoff and invoice | LLMOps monitoring, tuning, training and next-use-case roadmap |
| Who owns it | Vendor lock-in | Depends on the contract | Their frameworks, their retainer | You own every model, prompt, pipeline and line of code |
Anatolii Ulitovskyi
Founder of UNmiss · in digital marketing since 2008
Transformation, not a pile of licenses
UNmiss is led by Anatolii Ulitovskyi, who has spent 15+ years turning strategy into results across SEO, content and now AI. You get senior, model-agnostic guidance focused on your business outcomes, not a reseller pushing one platform.
Vendor-neutral by principle
We don't resell a single platform, so our only incentive is picking the model and stack that actually fit your business.
Outcomes over hype
Every use case is tied to a KPI and an ROI model before we build, so you invest in impact, not novelty.
Pilot-first, low-risk
We prove feasibility and ROI on a controlled proof-of-concept before you commit to a full rollout.
You own everything
Models, prompts, pipelines, vector stores and code are yours from day one, with no lock-in and no hostage retainer.
Senior, hands-on delivery
You work directly with the people building your system, not a rotating bench of juniors behind an account manager.
Every engagement includes
Questions, answered
No lock-in
You own every model, prompt, pipeline and line of code we build.
Pilot before you commit
We prove ROI on a low-risk pilot before you fund a full rollout.
Governed from day one
Security, access controls and audit trails ship with every workflow.
Ready to put AI to work, safely?
Book a free call and we'll pinpoint the two or three use cases where AI moves your numbers fastest, then map the pilot to prove it.
No obligation · honest fit assessment · led by UNmiss founder Anatolii Ulitovskyi