AI MANAGEMENT SYSTEM
experts
–IN– 6
__LOCATIONS_IN_COUNTRIES
years on the market
AI Case studies by TTMS
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What Our Clients Say
Mateusz Sawaryn
Kancelaria Prawna „Sawaryn i Partnerzy”
We are fully satisfied with our cooperation with TTMS and recommend them as a reliable technology partner, experienced in technologies based on artificial intelligence.
Soenke Kock
Division R&D Manager and Head of Development IoT & Analytics Motion Services Division ABB Business Area Motion
As part of our cooperation with TTMS, we are currently running research projects (POC) analyzing the usefulness of AI-based tools (including GitHub Copilot) in the software development process.
TAKEDA
TTMS implemented a solution supporting the work of the department that analyzes public tenders. The Salesforce-based system, supported by AI algorithms, helps optimize and automate document analysis.
What Are AI-Powered CustomProjects and Who Are They For?
What it is
AI-powered custom projects connect AI agents with enterprise systems to automate a defined business process. We establish agent tasks, approval rules and team responsibilities, then deploy the workflow and evaluate how it performs.
The scope covers an operational business process, including integrations and oversight, extending beyond a standalone chatbot or a set of recommendations.
Who it is for
AI Business Process Automation
Services: Processes We Automate
We automate workflows that involve gathering data, reviewing documents and moving tasks between systems. AI prepares results for review and reduces manual work across these processes.
Resource and Workforce Planning
AI combines team availability, skills and task requirements to suggest work assignments for a planner to review, reducing the effort needed to prepare schedules.
Document and Approval Workflows
AI classifies documents, extracts relevant information and routes them to the right reviewers, helping teams reduce manual data entry and keep approvals moving.
Management Reporting
AI drafts summaries from enterprise data and flags discrepancies for review, helping teams spend less time compiling management reports and more time interpreting results.
Request and Ticket Handling
AI categorizes incoming requests, drafts responses using company knowledge and routes cases to the appropriate team, reducing the manual effort involved in initial handling.
How We Deliver
AI-Powered Custom Projects: Step by Step
We start with a single process and a pilot that lets you see results before a wider rollout. Our analysis builds on findings from any earlier consulting work.
Process Analysis
1–2 weeks
We review the workflow, data and constraints, defining the project scope and measures of success.
Shorter if the project follows an AI consulting engagement.
New Process Design
2–3 weeks
We define AI tasks, integrations and human oversight, producing a process design and implementation plan.
Pilot
8–12 weeks
We test a working process within a limited scope, compare results against the baseline and identify necessary improvements.
Rollout and Integrations
3–12 months
We integrate the workflow with enterprise systems, test its operation and prepare your team to use it.
Scaling
Ongoing development
We monitor performance and results, using the findings to plan automation across additional processes.
Additional processes rolled out in stages.
Three Ways We Deliver: Matched to Your Process Risk
We match delivery to process risk and requirements, from a rapid AI prototype through supervised implementation to a business-critical process with comprehensive controls.
HIGHER PROCESS RISK
Rapid Prototype
Supervised Implementation
Business-Critical Processes
Is AI Automation Safe for Business-Critical Processes?
Yes, provided the AI agent prepares a proposed decision, a person approves it and every operation is recorded. For business-critical workflows, we define agent responsibilities, decision approval rules and procedures for handling errors and exceptions.
Human Oversight and Audit Trail
Agents can access only the data and functions needed for their tasks. The audit trail shows what the agent did, who approved the decision and when.
Our Certifications
TTMS holds ISO/IEC 42001 certification for its AI management system and ISO/IEC 27001 certification for its information security management system.

Adoption, Training and
Long-Term Support
Team Adoption and Training
We train your team to use the solution and provide documentation and guidelines for overseeing AI agents. This helps employees understand how to use the solution and monitor its performance in their daily work.
Maintenance and Ownership
After deployment, you can manage the process independently or entrust TTMS with maintaining and developing the solution. We agree on support scope and responsibilities so your team knows who handles oversight and changes.
Why Choose TTMS as Your AI Automation Company: Results and Case Studies
TTMS combines AI delivery experience with certified management systems for quality, information security and AI. We support clients from process analysis through deployment and ongoing maintenance.
CLIENT, PROCESS AND PROBLEM:
Sawaryn i Partnerzy law firm needed to streamline time-consuming work involving thousands of documents, meeting notes and negotiation recordings.
WHAT WE AUTOMATED:
Using Azure OpenAI, we automated summary generation and document updates to support the legal team’s daily work.
“We are fully satisfied with our cooperation with TTMS and recommend them as a reliable technology partner experienced in artificial intelligence technologies.”
Law Firm
Enterprise AI Automation Services: Costs and Engagement Models
Costs depend on the number of processes and integrations, delivery approach, security requirements and AI model usage. We analyze your process before preparing an estimate tailored to your business needs.

Security, Compliance
and Trust in AI Projects
Our AI consulting services are supported by certified management systems covering responsible AI use, information security, service delivery, quality, and operational risk. For enterprise clients, these standards provide independent evidence that we follow defined and verified processes when delivering complex projects.
Our Certifications and Management Standards
RESPONSIBLE AI MANAGEMENT
As the first company in Poland to achieve accredited ISO/IEC 42001 certification, we operate an Artificial Intelligence Management System that sets out how we manage AI-related risks, responsibilities, decisions, and oversight. For clients, this means that our approach is based on documented and independently verified processes, not only on general commitments to responsible AI governance.
INFORMATION SECURITY MANAGEMENT
Our Information Security Management System helps us identify and manage risks affecting confidential information, intellectual property, and critical systems. It gives security and IT teams recognized evidence that we manage information security through defined and verified processes.
QUALITY MANAGEMENT
IT SERVICE MANAGEMENT
ENVIRONMENTAL MANAGEMENT
OCCUPATIONAL HEALTH
AND SAFETY
Get a Project Estimate
Adam Kaczmarczyk
Technology and Competence Director
FAQ
How are AI-powered custom projects different from AI consulting?
Consulting helps identify which processes to automate and how to approach them. AI-powered custom projects put those recommendations into practice through process design, AI agent deployment, system integrations and results evaluation. We also provide documentation and training so your team can operate the process.
How is AI automation different from tools like Zapier or Make?
Zapier and Make work well for connecting tools in simple workflows. Enterprise implementation projects also address integrations with enterprise resource planning (ERP) and customer relationship management (CRM) systems, access controls, audit trails and exception handling, so automation meets the requirements of the wider business process.
How long does a pilot for one process take?
We determine the timeline after reviewing the process, data availability and required integrations. A pilot covers an agreed portion of one process and evaluates results against a baseline. It provides practical evidence to help you decide whether to proceed with a broader rollout.
Can our team run the automation on its own after rollout?
Yes. We train your team and hand over process documentation and rules for supervising AI agents. We can also keep maintaining and extending the automation if needed.
When does AI process automation not pay off?
Automation may not pay off when its expected benefits fall below implementation, maintenance and AI model usage costs. Infrequent tasks requiring little manual effort are one example. The assessment should also account for improvements in quality, error reduction and process oversight, alongside time savings.
Do you build new tools or only connect existing systems?
A project can include existing system integrations and new tools needed to support the process. We first review what your current environment can support. We then choose a delivery approach based on business requirements, security needs and the tasks assigned to AI agents.