RPA & Intelligent Automation

AIGard automates repetitive, rule-based work across your systems, and uses AI to handle the documents and exceptions that simple bots can't. We start with the processes that return the most time.

The work typically covers:

• Process discovery and prioritization
• Workflow and bot development
• Document extraction with AI
• System integrations
• Exception handling with human review
• Monitoring and maintenance

RPA & Intelligent Automation is usually the right investment in one or more of these situations:

• Staff re-key data between systems
• Invoices, forms or claims are processed by hand
• Back-office volume is growing faster than headcount
• Existing bots break when inputs change

On a 30-minute scoping call we confirm whether it fits your case and recommend a team shape and first milestones.

The best processes to automate first are those that are high-volume, rule-based and stable. AIGard assesses the candidates and ranks them by time saved against effort.

Process discovery and prioritization are the first steps of an engagement. Typical candidates include re-keying data between systems and manual processing of invoices, forms or claims. Where a process is not yet stable enough to automate, we say so plainly.

Intelligent automation adds AI to traditional RPA for reading documents and handling exceptions, so the automation survives messy real-world inputs.

Simple bots follow fixed rules and tend to break when inputs change. AIGard uses AI for document extraction and routes exceptions to human review, while rule-based steps continue to run across your systems. Monitoring and maintenance help keep the automation working as conditions change.

By treating the model as one part of a system. Production work covers data pipelines, evaluation, deployment, monitoring and retraining as well as the model itself.

We agree the success metric first, assess whether your data supports the use case, and build the surrounding engineering so the system keeps performing after launch.

Privacy and security controls for each AI use case are defined up front, and engineers work inside your environment under least-privilege access.

We agree which AI tools and models may access your code and data, including retention and training settings, with human approval for sensitive actions.

For RPA & Intelligent Automation, AIGard engineers typically work with Python, Anthropic, OpenAI, ServiceNow, SAP and Salesforce.

The stack is selected to fit the systems you already run, and engineers are matched to it before they join.

RPA & Intelligent Automation is available through any of AIGard’s three engagement models: staff augmentation, where engineers join your team; a dedicated team that runs the workstream; or software outsourcing, where AIGard delivers a defined project.

The choice depends on how much of the delivery you want to manage, and it can change later under the same agreement.

Engineers typically start within two to four weeks of the scoping call. The exact date depends on the roles, seniority and number of people required.

We confirm a realistic start date in writing before you commit, and you meet the proposed engineers before work begins.

AIGard engineers typically cost 30–50% less than the fully loaded cost of a comparable US-based hire, with no recruiting fees, benefits overhead or insurance costs on your side.

The figure for a specific engagement depends on the model, the roles, the seniority mix and the size of the team. We issue a written proposal after the scoping call, so the commercial terms are agreed before any work starts.

NDAs are signed before any access is given, and engineers work inside your environment under least-privilege access, with permissions limited to their responsibilities.

Access is reviewed as roles change and removed when work ends. Our practices align with ISO 27001, SOC 2, GDPR and HIPAA, with PII masking, encryption and audit logging built into data work. We review your access policies, data-handling needs and vendor requirements during scoping.

You do. Intellectual property assignment is written into every contract, in every engagement model.

That covers source code, designs, documentation, data, models and prompts produced for you. Third-party components and their licenses are identified, so ownership is clear at handover.