−32%
manual load on the first process taken into production
We run a pre-project company audit, digitize processes, find points of growth, and create technology with AI and the OBS Pulse SaaS platform used under a licence agreement.
−32%
manual load on the first process taken into production
6–12 weeks
from pre-project company audit to a production slice with integrations
39%
of companies already use AI assistants (SberAnalytics, 2025)
We do not offer technology before we understand the task. First we study how the company earns money, where losses appear, which processes slow growth, and how the existing IT landscape is arranged. Then we draw a map of change and choose the technologies that have economic sense.
01
We study the business model, processes, organisation, data, and the IT systems already in place.
02
We build a digital model of the key processes and how they connect inside the company.
03
We find bottlenecks, manual work, lost time, duplication, and points of growth.
04
We decide which changes will produce the greatest effect — and in which order to implement them.
05
We create the digital products, AI services, automation, and internal systems the plan requires.
06
We connect new solutions to CRM, ERP, BI, APIs, and the rest of the client’s stack.
07
We stay after launch: we operate, measure the result, and keep developing the system.
Inside the company we use the OBS Pulse SaaS platform under a licence agreement with the rights holder. It combines business analysis, work with data, and AI tools for design and development. That lets us turn pre-project company audit findings into concrete solutions faster — from hypotheses and prototypes to working digital products.
AI helps analysts and engineers cut routine work and prepare solutions sooner.
Business-analysis results become the basis for design — not a separate document that dies in a folder.
Analysis, product management, and engineering work in one loop.
See what is blocking growth. Analysis of processes, data, IT systems, and the operating model.
Remove routine and speed up work. Assistants, agents, automation, RAG, and intelligent document processing.
Build a system around your business model. SaaS, corporate platforms, web applications, internal tools.
Connect the systems you already have. CRM, ERP, BI, APIs, telephony, documents, databases.
Turn data into decisions. BI, dashboards, AI analytics, forecasting, anomaly detection.
Create a new digital source of revenue. New services, products, and customer platforms.
For a mid-market company the question is not only what a technology can do, but whether it is available, stable, secure, integrable, and supportable over years. We design durable solutions around the IT landscape, security requirements, and infrastructure of the market you operate in.
AI and cloud platforms
Selected for the market, the data policy, and the workload.
Corporate systems
CRM, ERP, and the systems of record you already trust.
API integrations
New capability sits inside existing flows, not beside them.
On-premise / cloud
Hosting follows policy, latency, and cost — not a default slogan.
Hybrid architecture
When one contour cannot hold the whole operating model.
understand the business.
turn problems into solutions.
decide where AI is actually needed.
build the system.
connect it to the existing infrastructure.
stay after launch.
We do not hand a business problem to an engineer as a technical brief and walk away. Analysts and the product team work with developers for the whole project. That is how a diagnosis becomes a system that actually runs.
Founder
Valentina Mochalova
Valentina founded OBS Intellect as a business transformation partner: understand the company first, then use AI and the licensed OBS Pulse SaaS platform to speed analysis and delivery, then implement the change and own the result. She sets development strategy. The company’s infrastructure uses the OBS Pulse line under a licence from the developer.
Systems analyst
Anna Volkova
Anna owns the first weeks of every engagement: who waits on whom, which field in the CRM or ERP is actually trusted, and where hours leak. She maps the operating process with operators — not only sponsors — then scores AI use-cases against data readiness, access rules, and payback. Output is a process map, a labelled sample, and a fixed-scope statement of work, or a documented decision not to build.
Lead developer
Dmitry Orlov
Dmitry puts the model inside the system of record. He designs the production slice: typed APIs, PostgreSQL, retrieval or document extraction, and a human reviewer in the same workflow. Evaluation sets and cost caps are part of the build, not a later phase. Code and schema stay in the client tenant unless the engagement is the future OBS Pulse product.
Industrial manufacturing
420 employees
Demand forecast on ERP history; exceptions, not dashboards, on the planner queue
Read the case →
Professional services
180 employees
11,000-document index with drafts landing in the CRM opportunity
Read the case →
Logistics
260 employees
Extract, validate, then write confirmed fields into the TMS
Read the case →
Idea → business model → hypothesis tests → MVP → launch. We do not build an MVP for its own sake. First we check what the market must prove.
A fixed-scope diagnostic typically starts from USD 8,000 and takes two to three weeks. The number moves with the number of systems, sites, and process owners involved. We quote the pre-project company audit before we quote the build.
A map of how the company actually earns money; the processes, data, organisation, and IT systems behind it; bottlenecks and growth points; and a sequenced change plan. You leave with a document you can take in-house — not a slide that only we can interpret.
Usually no. We start from the systems you already run. Replacing a system of record is a last resort, not a default. The typical job is to connect new capability to what already holds the truth.
Yes, when the process, data, and access rules allow it. We connect to CRM, ERP, BI, telephony, document stores, and APIs. If a system cannot be integrated safely, we say so in the pre-project company audit instead of forcing a side chatbot.
The ones that change a measured workflow: assistants and agents in sales, support, documents, HR, finance, and internal knowledge; automation of repetitive hand-offs; analytics that operators actually use. Not a model for every department on day one.
We choose the stack from the task: availability, security, data residency, integrability, and long-term support in your market. That can mean local platforms, international models, on-premise, cloud, or a hybrid — not a fashion choice.
Where the engagement specifies: your tenant, a regional cloud, or a hybrid. We do not move production data into a demo sandbox and leave it there. Residency and access control are part of the design, not an afterthought.
Yes. We design for the cloud, infrastructure, and security rules of the market you operate in. If the requirement is a specific provider or region, that constraint is in the architecture from the pre-project company audit.
Yes. On-premise and hybrid deployments are a normal option when policy, latency, or cost require it. The product still has to connect to the systems of record — hosting is a decision, not the whole design.
A pilot on one process is typically weeks, not quarters. A production slice with integrations is often 6–12 weeks after the pre-project company audit. Scaling to more processes follows measured results, not a big-bang programme.
From a baseline taken in the pre-project company audit: time per task, cost per case, error rate, cycle time, or revenue leakage. We estimate effect on that metric before the build and measure it after go-live. If the case is weak, we recommend not to build.
That is the default. Pre-project company audit → use case → business case → pilot → integration → scale. A pilot is a working slice in the live process, not a disconnected prototype.
Yes. We build customer-facing and internal platforms when the business model needs a product, not only an automation. Internally we use the OBS Pulse SaaS platform under a licence agreement — without handing the full architecture to the market.
Yes. The English site is for international mid-market companies and founders. We analyse how the business works, then design and build what the operating model actually needs.
Yes — after we test the business hypothesis. We do not build an MVP for its own sake. First we decide what must be proven on the market; only then we build the smallest product that can prove it.
That is normal. We will not start with a tool. We will start with an analysis of your business.