Home • AI Solutions • AI-Powered Custom Projects

AI-Powered Custom Projects: AI Automation Services for Business Processes

AI-powered custom projects at TTMS are implementations that redesign and automate enterprise business processes using AI agents and integrations with existing systems. We help teams reduce manual work in reporting, document handling and approvals through automated workflows they can monitor and control. Our AI management system is certified to ISO/IEC 42001.

Certified management systems at TTMS

ISO/IEC 42001

AI
MANAGEMENT

ISO/IEC 27001

INFORMATION SECURITY

ISO 9001

QUALITY MANAGEMENT

ISO/IEC 42001

AI MANAGEMENT SYSTEM

0
+

experts

0

–IN– 6

__LOCATIONS_IN_COUNTRIES

0

years on the market

AI Case studies by TTMS

Transforming Biopharmaceutical Tender Processes: AI Integration and Automation at Takeda Pharma

INDUSTRY:
Global biopharmaceutical company, Takeda Pharma, specializing in digestive system diseases, oncology, neurological diseases, and plasma-based therapies.
CHALLENGE:
The Polish branch struggled with complex and lengthy tender processes, difficult documentation, and poor data protection.
SOLUTION:
TTMS introduced an AI system integrated with Salesforce CRM to automatically analyze and assess key criteria from RFPs.
RESULT FOR CLIENT:
The AI solution improved the bidding process, enabling quicker, more accurate decision-making and better resource allocation.

Optimizing Sales Efficiency at leading automotive company: AI-Driven Discount Determination System

INDUSTRY:
Automotive. The manufacturer needed to optimize the sales process by automating discount calculations for different car models.
CHALLENGE:
Calculating discounts involved multiple complex factors such as model year, engine type, and additional services.
SOLUTION:
A PoC was developed using Azure AI and GPT-4 to automatically process vehicle parameter queries and determine discounts.
RESULT FOR CLIENT:
The AI-driven system allowed a global car manufacturer to efficiently manage data, providing faster and more precise discount calculations.

Enhancing Operational Efficiency with AI: The leading sweets polish producer – ChatBot Integration Case Study

INDUSTRY:
Confectionery. Our client sought to improve operational efficiency through AI-driven solutions.
CHALLENGE:
Employees had difficulty accessing and managing HR and administrative information stored in various formats on their SharePoint intranet.
SOLUTION:
A Microsoft Teams integrated ChatBot was developed, leveraging AI to quickly access HR and administrative information from SharePoint. It was done using OpenAI services on Microsoft Azure.
RESULT FOR CLIENT:
The ChatBot significantly improved internal query handling, reducing time spent searching for information and boosting productivity.

Enhancing Employees satisfaction with AI: The leading Polish merchant acquirer in Poland – ChatBot for Help Desk Case Study

INDUSTRY:
Finance. Our client sought to improve back-office efficiency through AI-driven solutions.
CHALLENGE:
Employees had difficulty accessing and implementing IT related instructions and procedures stored in various formats on their SharePoint intranet.
SOLUTION:
A Microsoft Teams integrated ChatBot was developed, leveraging AI to quickly access solutions and procedures from SharePoint. It was done using OpenAI services on Microsoft Azure. Employees have an opportunity to chat with digital assistant directly from Teams chat and engage real person if the need more sophisticated help.
RESULT FOR CLIENT:
The ChatBot significantly improved internal query handling, reducing time spent searching for information and boosting productivity.

Helpdesk Training with AI-Powered
e-Learning Solutions

INDUSTRY:
The company operates a helpdesk service, addressing and resolving customer issues to ensure a seamless and satisfactory customer experience.
CHALLENGE:
The challenge was to create an efficient training program that swiftly onboards new helpdesk employees, ensuring they proficiently handle tickets and address knowledge gaps.
SOLUTION:
The company implemented an AI-powered e-Learning training program, featuring traditional modules and interactive exercises, to help new helpdesk employees handle tickets according to guidelines, improve their writing and English skills, and provide management with insights on common errors.
RESULT FOR CLIENT:
The implementation of the AI-powered e-Learning solution resulted in faster proficiency in handling tickets, more consistent adherence to company guidelines, improved writing and English skills, continuous refinement of the training process, and valuable insights for management.

Optimizing Efficiency in a Leading Law Firm: AI-Based Support System

INDUSTRY:
Legal sector. Law Firm Marek Małecki and Partners needed to optimize their workflow by automating document analysis.
CHALLENGE:
Analysing court transcripts, preparing mediation proposals, document analysis, and contract generation were time-consuming and prone to human error.
SOLUTION:
TTMS implemented a system based on ChatGPT and Azure cloud, automating the analysis of legal documents, mediation preparation, and contract generation, ensuring secure processing of anonymized data.
RESULT FOR CLIENT:
The AI system significantly improved the firm’s workflow, reducing document processing time and increasing analysis accuracy. This allowed lawyers to focus on more complex tasks, enhancing service quality and client satisfaction.

Layer

Transforming HR Support with an AI Knowledge Assistant

INDUSTRY:
A global technology company specializing in providing outsourcing services.
CHALLENGE:
The HR department was burdened with regular questions about benefits, procedures and other employee matters.
SOLUTION:
We created an internal knowledge base for employees (handbook), launched a language model (based on Chat GPT 4.0) that answered questions related to the above handbook.
RESULT FOR CLIENT:
The AI solution relieved the HR department and streamlined the process of obtaining information by employees.

Trusted by

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

  • Teams that manually transfer data between systems

  • Enterprises that compile reports from multiple sources

  • Departments that track document approvals

  • Organizations that have assessed AI opportunities and selected a process for implementation
  • Describe the process you want to improve

    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.







    PROCESS 01 OF 04

    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.

    PROCESS 02 OF 04

    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.

    PROCESS 03 OF 04

    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.

    PROCESS 04 OF 04

    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.

    Start with a single-process pilot

    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.

    LOWER PROCESS RISK

    HIGHER PROCESS RISK

    Rapid Prototype

    Supervised Implementation

    Business-Critical Processes

    WHEN TO USE IT
    Testing an idea using test data.
    Automating tasks with employee review.
    Processes requiring formal approvals and a complete activity history.
    DELIVERY APPROACH
    Vibe coding: AI generates code from a description to test an idea quickly.
    Developers guide AI code generation, review the code and test it.
    AI-assisted development with formal reviews, testing and documentation.
    OVERSIGHT
    Limited scope and evaluation of prototype results.
    Code reviews, testing and change approvals.
    Quality, security and access controls, supported by an audit trail.

    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.

    Ask about deployment security

    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

  • 01

    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.

  • 02

    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.

  • Ask about training for your team

    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.

    Read the full case study

    “We are fully satisfied with our cooperation with TTMS and recommend them as a reliable technology partner experienced in artificial intelligence technologies.”

    Sawaryn i Partnerzy
    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.

    MODEL
    WHO IT’S FOR
    SCOPE
    BILLING
    ONE PROCESSPilot
    Companies that want to see results before rolling out
    One process and evaluation of results
    Fixed price or time and materials
    FIXED PRICE OR T&MRollout
    Companies ready to implement a selected process
    Process implementation and integrations
    Fixed price or time and materials
    ONGOINGDedicated Team
    Companies continuously expanding automation
    Automating further processes and ongoing development
    Monthly

    ISO

    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

    ISO/IEC 42001

    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.

    ISO/IEC 27001

    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.

    ISO 9001

    QUALITY MANAGEMENT

    ISO/IEC 20000

    IT SERVICE MANAGEMENT

    ISO 14001

    ENVIRONMENTAL MANAGEMENT

    ISO 45001

    OCCUPATIONAL HEALTH
    AND SAFETY

    Get a Project Estimate

    Following a free online meeting, we’ll prepare a proposed project scope, delivery approach, timeline and estimated cost range within 5–10 business days. We can sign a nondisclosure agreement before the meeting.
    FORMATA 45–60-minute online meeting.
    ESTIMATE READY IN5–10 business days.
    LED BYA TTMS expert specializing in AI automation delivery.
    WHAT YOU GETA proposed project scope, delivery approach, timeline and estimated cost range.
    Certified management systemsISO/IEC 42001ISO 27001ISO 9001
    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.