Solutions

Problem:  

U.S.  government agencies are facing mounting pressure in managing Freedom of  Information Act (FOIA) requests amid record demand and shrinking  resources.  

• Average processing times are increasing 
• Response rates have fallen to historic lows 
• Agencies are increasingly unable to meet statutory response timelines. 

Solution:  

Addewa.AI leverages the power of the Hercules.AI platform to address these systemic challenges:   

• We apply secure enterprise-grade AI to automate the most time-consuming elements  of FOIA intake, document discovery, digitization, review, and quality  assurance without exposing sensitive data. 
• We keep human judgment firmly in control. 
• Our solution integrates seamlessly into existing government environments, on-premise or in the cloud 
• Our  solution streamlines workflows, reduces misrouting, and transforms  unstructured and physical records into searchable digital assets.  

Result: 

The impact is measurable and mission-driven. With Addewa.AI's market-proven solutions, agencies can: 

• Reclaim thousands of analyst work hours 
• Reduce existing backlogs by accelerating complex request processing 
• Continuously digitize records, so future requests are handled faster and more consistently.  
• Lower the cost per request and improves transparency overtime 
• Create a compounding efficiency effect where each digitized and indexed record reduces effort for the next request.  
• The  result is a sustainable path toward meeting FOIA response timelines,  restoring public trust, and enabling agencies to keep pace with rising  demand despite ongoing staffing constraints. Work with Us  

Problem: 

Federal grantmaking agencies like NSF, HHS (including NIH), VA, and NASA are being asked to do more with less: 

• Far more applications than staff capacity can comfortably intake, validate, route, and review while still meeting strict program rules, documentation standards, and audit expectations.  
• The work is often executed across disconnected tools (emails, spreadsheets, PDFs, basic portals) 
• This creates data silos and force manual rekeying, version chasing, and ad-hoc status tracking.  
• The fragmentation  drives bottlenecks (incomplete packages cycling back late, inconsistent  reviewer assignments, “review fatigue,” uneven workloads), increases  error risk 
• It makes it harder to enforce consistent controls for eligibility, conflict checks, and compliance, ultimately slowing time-to-award and undermining applicant confidence in the fairness and predictability of the process. 

Solution: 

Addewa.AI modernizes this lifecycle with a human-in-the-loop automation layer built on the Hercules.AI platform and tailored SaaS accelerators.  

• Hercules  functions as an “AI worker” for high-volume, rules-driven workflows,  ingesting submissions in common formats, extracting and standardizing  key fields, and performing automated validation checks to confirm  completeness and adherence to grant requirements before an application  ever reaches a reviewer’s desk.  
• Addewa.AI packages  this into an agency-ready workflow experience with best-practice  guardrails that enforce compliance and quality gates (without replacing  the decision-makers) 
• This is all done securely due to Hercules.AI's ability to work with the data where it resides, on-premise or in the agency Cloud. 

Result: 

• Grant teams are enabled to focus their limited expert capacity on scientific/mission merit rather than administrative triage.   Work with Us 

Problem: 

U.S.  federal agencies continue to face significant challenges in managing  the end-to-end contract workflow due to paper-heavy processes,  fragmented legacy systems, and increasingly complex compliance  requirements.  

Solution: 

Addewa.AI addresses these challenges by combining the Hercules automation  platform with purpose-built SaaS applications designed specifically for  federal acquisition and financial environments.  

• Rather  than replacing existing systems, our approach acts as an intelligent  automation and validation layer that works within agency boundaries to  streamline workflows, improve data consistency, and reinforce  governance.  
• By  applying AI-assisted automation, structured workflows, and  policy-aligned validation across the contract lifecycle, Addewa.AI  enables agencies to modernize how contracts, invoices, and supporting  documentation are created, reviewed, and managed—without disrupting  mission operations or sacrificing human oversight.  

Result: 

• This approach allows agencies to transition away from paper-driven processes while maintaining full compliance with federal acquisition and financial regulations.  
• The result is a faster, more accurate, and more transparent contracting process that benefits both agencies and their industry partners. Work with Us 

Problem: 

Airports  and airlines are under mounting pressure from operational  inefficiencies, labor shortages, aging infrastructure, and rising  passenger expectations.  

• These challenges are amplified by fragmented legacy systems and manual, paper-heavy workflows.  
• Siloed data across airport operations and airline systems leads to delays, missed handoffs, poor situational awareness, and inconsistent passenger experiences. 
• These gaps disproportionately impact travelers with disabilities and special needs. 
• Industry  studies consistently show that inefficiencies in ground operations,  baggage handling, maintenance planning, and passenger processing  contribute to billions of dollars annually in delay-related costs. 
• Long queues, unreliable information, and accessibility breakdowns erode trust and satisfaction across the travel ecosystem. 

Solution: 

Addewa.AI builds end-to-end intelligent automation systems that combine Addewa's deep expertise in Microsoft technology and workflow automation with an exclusive partnership with Hercules.AI for their proprietary extraction, transformation, and verification capabilities.  

• Hercules.AI compliance verification engine ingests structured and unstructured data from legacy systems, documents, and human inputs via APIs and data integrations to validate completeness, enforce policy and regulatory rules, and flag exceptions with full audit trails.  
• Addewa's integrated platform then routes these flagged items via workflow automation to the right stakeholders for human review and decision. 

Result:  

• This integrated approach complements  existing airport and airline systems by providing the connective tissue  that turns fragmented data into actionable, compliant operations — all  while keeping humans in control of final decisions. Work with Us 

Problem: 

Project data can sometimes exist in multiple locations or disparate and outdated formats, making it hard to access or evaluate, and impossible to scale, secure, or be used in a friendly manner. 

Solution: 

The Smart Project Management Dashboard (SPMD) project designs and delivers a web-based dashboard that provides real-time visibility into project performance and resource utilization across the organization. The dashboard modernizes an existing Excel and Visual Basic–based tracking solution by transitioning it to a web application.
 

Result: 

Project data will be centralized across project managers, divisions, and project types, enabling leadership to monitor milestones, schedules, budgets, risks, and delivery status through a single authoritative interface.  Work with Us

Problem: 

Federal  agencies face a critical challenge: how to ensure consistent, secure,  and auditable Software Development Life Cycle (SDLC) execution while  enabling security offices to efficiently assess applications for  Authority to Test (ATT) and Authority to Operate (ATO).
 

Solution: 

The Automated SDLC Intelligence Platform (ASIP) project designs and delivers a demo-ready, AI-enabled Software Development Life Cycle (SDLC) automation tool. The Phase I of this project is focused on demonstrating technical feasibility, innovation, and mission relevance. Some of the key strengths of the project include the following: 

• Application categorization to support ATT/ATO decisions. 
• Identification of systems, environments, integrations, and data streams. 
• AI-assisted automation of SDLC phases (requirements through deployment). 
• Risk identification, classification, and traceability across the SDLC. 
• Synthetic datasets and mock integrations representative of federal environments. 

Result: 

The ASIP project provides end-to-end visibility into application categorization, environments,  system dependencies, data flows, and risks, while automating key SDLC  activities using artificial intelligence.  Work with Us