AI for business.
Implementation and legal advice.

We measure time savings in a pilot, connect AI to your systems and roll it out across teams. We advise on how you use data, what your contracts allow and which internal AI policies you need. You can ask us for legal advice on a project run in-house or with another provider.

AI implementation

From planning and piloting to rollout in your systems. We measure where AI saves time and reduces errors, and help you roll out proven solutions across departments.
We review your workflows and data and select what to test in a pilot. You get a plan with a budget and success criteria, a system design and an estimate of operating costs.
We connect AI to CRM, ERP, 1C and document management systems so staff can use it in their existing tools. We set up access and approvals, train your team and hand the solution over for daily use.
If several departments need AI, we build an enterprise platform so they can share models, data and tools. We develop agents that carry out approved tasks and refer exceptions to staff.

Legal services for AI

We advise on AI implementation, including projects run by your team or another provider. You get written legal findings, documents and rules your staff can follow.
We audit how you use AI. We check what data you can share with suppliers, whether they can use it to train models, and who holds rights to the models and their outputs.
We draft and review supplier agreements, AI product terms of use and internal policies. During implementation, we put the agreed rules into practice through access controls, agent permissions and approvals.

Pilot and team

  • AI team setup and technical leadership
    We define roles, help assess candidates and suppliers, and review architecture and delivery.
  • AI pilot using your company data
    You get a prototype, test results from your own workflows and a list of changes needed for rollout.
  • Business impact assessment
    We compare time, cost per task and error counts before and after the pilot so you can decide whether to scale.
  • AI training for staff
    Your team gets instructions and hands-on practice using AI in its daily work.

Agents, quality and security

  • AI agents for multi-step workflows
    Agents carry out permitted actions in your systems and refer exceptions to staff.
  • Quality checks for AI outputs and actions
    We prepare test cases and automate checks so your team can catch errors before each release.
  • Data access and agent permissions
    We configure permissions, limits and approvals, and log actions for review.
  • Implementation standards and architecture reviews
    Teams get reusable designs and shared criteria for moving solutions into production.
  • MCP server development and tool integration
    We connect AI to permitted functions of your systems and products, with access controls and activity logs.

Platforms and operations

  • Enterprise AI platforms
    New services and agents share access to the company’s models, data and tools.
  • AI monitoring and support
    Your team can spot errors, delays and outages and follow procedures for updates, rollback and recovery.
  • Enterprise data preparation
    We check source quality, organise reference data and documents, and set up updates.
  • AI deployment in private environments
    We select models and infrastructure, configure access to internal data and test performance in your environment.
  • AI operating cost optimisation
    We calculate the cost per task, including models, compute and licences, and identify ways to reduce it.

Business applications

  • AI search for internal knowledge
    Staff receive answers with links to source documents they have permission to access.
  • AI features for existing products
    We design and implement AI features in existing products. We test each feature against an agreed product metric and use the results to prepare it for release.
  • AI in software development
    We connect assistants to the codebase, automate test drafting and code review, and measure the impact on release times and defects.
  • Document processing and contract approvals
    We extract data from PDFs and scans, cross-check documents and send discrepancies and disputed clauses for review.
  • Enquiry handling and support
    AI drafts replies using company rules and routes difficult cases to specialists. We measure response time and quality.
  • Management reporting and variance analysis
    An executive dashboard shows project status, deadlines at risk and decisions that need attention.
  • Payments initiated by AI agents
    The agent matches invoices to orders and drafts payment instructions. We configure permissions, limits, payment approvals and reconciliation.
  • Business-to-Agent (B2A) interfaces
    We adapt your storefront, price lists and APIs so buyers’ AI agents can compare offers, check them against procurement requirements and complete transactions directly via API.
How we work
We test AI in one workflow and measure the results. If the pilot meets the agreed targets, we integrate the solution and train your team.
We pick a workflow with you and agree how to measure the effect, such as time spent, cost per task or errors. We test the solution on your data so you can decide whether to scale it.
At rollout, we integrate the solution with your systems, set up permissions and approvals, and train your staff. We hand it over with documentation or provide ongoing support.
Tell us about your project
Tell us which workflow you want to improve, which solution you’re preparing to launch, or what legal question you need answered.
Tell us where your team loses time, which pilot you want to put into production or what legal question you need to resolve. We’ll suggest a first step and discuss how to measure the result.
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