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Build Production-Grade AI Agents for Enterprise Workflows

Two paths from AI potential to results

Whether you're just starting with AI tools or ready to build production agents - we meet you where you are.

Track A

Build Internal Capability

For teams who want to make a step change in productivity boost and complexity of applied solution

  • Hands-on coaching for business users on Copilot, Cognite etc
  • Prompt design, workflow architecture & agent evaluation
  • Safe AI practices and governance patterns
  • Reduces shadow AI risk through governed platforms

Outcome

Business users become AI-capable – without loading IT

Track B

Accelerate High-Impact Solutions

For workflows drowning in manual data gathering, document handling & repetitive analysis

  • 2–3 production-grade AI agents, co-developed with your team
  • Connected to your data platforms (DB, SharePoint, Cognite)
  • Pre-built templates: RAG, Data Quality, Text-to-SQL
  • Industry and Asset aware agents

Outcome

Hours → minutes. Measurable cycle-time reduction.

Together, these tracks create both breadth (empowerment) and depth (impact) – a sustainable AI capability, not isolated pilots.

From data to decisions - in minutes, not days

Gravestones labelled Lessons Learned and Projects Lessons – knowledge buried in reports

Lessons learned that don’t stay buried in PDFs.

Engineering knowledge made accessible, when it matters most

From ‘Where’s that policy?’ to ‘Here’s your answer’ - instantly.

No need to explore HR portal to find the guidance

Errors hiding in 200-page reports? Found. Fixed. Fast.

Find out how smarter review workflows made it possible.

Laptop showing cost data table alongside a calculator

Don’t Just Question Costs - Know Them.

Reduce overpayments and pricing uncertainty through AI-driven contract insights

See all use cases →

Industry focused use cases

AI Data Analyst tool in use
Universal

AI Data Analyst

Say goodbye to data digging! Assistant understands your questions and delivers production insights with visual reports in minutes, not hours.

Cost Advisor AI tool reviewing contract prices
C&P

Cost Advisor

Transparent Pricing at Your Fingertips: Eliminate guesswork from quotations review. Quickly verify contractor submissions against reliable data and get advice for negotiations.

Projects After-Action-Reviewer AI tool output
Projects

Projects After-Action-Reviewer

Learn, Improve, Excel: Capture project lessons systematically, converting past experiences into structured knowledge that prevents future overruns.

LLM Council interface
Universal

LLM Council

For a hard, one-off decision where a single answer is not enough. Several models take the same question, critique each other, and a facilitator merges the strongest reasoning into one balanced view.

Want more examples? See all use cases →

Why Choosing us

Our team of experts combines deep industry knowledge with cutting-edge AI expertise, ensuring you receive the best possible solutions tailored to your unique needs.

With over 25 years of total hands-on experience in global operations – from offshore platforms to LNG facilities – we bring deep technical expertise in facilities engineering and production optimization.

Alexander Krivosheev on offshore platform

Our extensive background covers the entire upstream value chain, from well and reservoir management to surface facility optimization, strengthened by years of practical experience with Shell and other major operators.

Vadim Borisov, technical expert

We've successfully built and led cross-functional teams, giving us a clear understanding of what it takes to implement impactful IT and digital solutions in complex industrial environments.

AI-Solutions team

We know what works – and we also know what doesn't. Having navigated project challenges, we understand the pitfalls to avoid, helping ensure more successful outcomes.

Contrast of poor and thriving crops – a metaphor for the difference good decisions make

Frequently Asked Questions

As businesses explore AI adoption, common questions arise about practicality, value, and implementation approaches.

Seems interesting, but not sure it is practical to our business.

Ask most O&G teams and the honest answer is yes, just not in a generic "ChatGPT for business" way.

  • Data spread across systems. Production and operational data lives across databases, historians, and shared drives. Pulling a straight answer together burns hours before any real analysis starts. Plain-language tools can query across those sources directly and hand back the number, not the search.
  • Recurring reviews and reports. Technical documents and submissions need consistent checking, and quality drifts depending on who does the review that week. AI-assisted first-pass checks catch the same things every time and free senior reviewers for the judgement calls that actually need them.
  • Expertise trapped in documents. Knowledge from past projects and studies sits buried across thousands of files. People can't find it, so problems get re-solved instead of found. Grounded search over your own document store surfaces the right answer with a citation back to source.
We want to experiment, but not sure how to start.
  • Begin with well-defined, low-risk use cases that can demonstrate quick wins and ROI
  • Implement on-premise LLM solutions to maintain data security while leveraging AI capabilities
  • Develop internal AI expertise through pilot projects to make informed decisions about larger implementations
  • Start with basic automation tasks, then gradually expand to more complex applications
How do we track the ROI and long-term value of AI initiatives?
  • Define measurable performance indicators before project kickoff. When possible agree on measurable metrics separately for every AI-tool developed, such as manual work reduction, errors or non-conformance reduction, review cycle acceleration, cost savings, and structured business user feedback.
  • Conduct phased rollouts to track incremental value and identify quick wins.
  • Capture ad-hoc benefits reported by end users and try to replicate them.
  • Regularly evaluate AI-tools performance against benchmarks to justify further investment or pivot as needed.

Unleash the Full FAQ

Let's discuss how we can help you to embrace AI