Every month, an analyst at a national loan servicer assembled eleven spreadsheet feeds into two ledger reports. The work took several days. In TIU Consulting’s account, the replacement platform took roughly fifteen productive engineering hours to build. Raw files went in; structured, reconciled financial records came out. Before production coding, three AI systems challenged the design and raised twenty-four findings.
- TIU builds enterprise software and helps teams change how they deliver it.
- Its products tackle recruiting, property records, risk and compliance.
- The buyer’s lesson: define the task, retain the evidence, measure the result.
The more interesting number is 8.5: the hours TIU recorded as a failure tax within twenty-five logged hours. Four of five money columns reconciled exactly against the client workbook. Those qualifications make the account useful. A finance department needs to know what agrees, what still needs attention, and how much effort disappeared into the gaps.
TIU says the platform has been operating since August 2026. This is a company-reported result for one engagement, with an unnamed customer. Read it as a concrete example of its approach: build the machinery, preserve the evidence, check the arithmetic.
An AI company with a long service corridor
TIU occupies a busy stretch of the technology market: the space between buying software and making it work inside an actual organization. Its menu includes custom development, cloud engineering, data integration, cybersecurity, testing, talent acquisition, and organizational change. Customers can bring it a broken workflow, a legacy application, or a shortage of people able to deliver the next release.
The US business dates to 2006 in its LinkedIn profile and Better Business Bureau record. Its current office directory identifies Hudson, Ohio, as headquarters, alongside a Cleveland-area office and delivery locations in Gondia and Nagpur, India. That geography supports its advertised round-the-clock delivery model. The company describes its guiding principles as “Talent, Integrity, and User-Centricity.”
Its position is best understood as a combination of an engineering services firm, an enterprise change consultancy, and a developer of specialized applications. Buyers comparing alternatives should ask whether they need that combination. A simple website build and a regulated lending workflow require different evidence of competence.
The first thing to break is often the handoff
Sirva provides a useful example. In TIU’s published case study, the relocation and mobility business faced fragmented HR systems, manual data entry, weak integration, and difficulty handling peak transaction volumes. TIU describes building a unified mobility platform with external data connections, automated data management, cloud infrastructure, and mobile and web interfaces.
The company reports a 60% reduction in manual tasks. The instructive detail is the work underneath that percentage: APIs and connectors moved information between systems, while automation reduced repeated entry. An employee relocation crosses several administrative boundaries. Connecting those boundaries can matter as much as improving any individual screen.
A separate diagnostics case study describes a similar pattern at an unnamed customer. TIU combined laboratory and device data through Azure, added an Angular interface, used TensorFlow for forecasting, and delivered Power BI dashboards. It reports 40% shorter processing turnaround. Training and continuing support were part of the implementation. Both accounts point to integration as the practical starting point.
Give the analyst a reason to stay
In a June 2026 essay, TIU’s Amit Gupta argues that financial-services AI pilots often stall when analysts must abandon familiar tools. A replacement platform creates another place to work, another training obligation, and another opportunity to retreat to the spreadsheet. His proposed response is to put AI into the existing workflow and configure it around the institution’s data and reporting requirements.
That argument explains the emphasis of TIU’s finance practice. It offers document extraction, fraud scoring, underwriting assistance, compliance checks, and reporting automation. A published lender case study describes a fixed-price, ninety-day engagement: assess the data first, implement document processing and scoring next, then automate memos and checks before dashboard delivery and training.
TIU reports more than 70% less manual document review in that engagement. The commercial lesson is the defined scope and agreed measurement. A buyer can copy those features without copying the technology stack. Specify the documents, the output, the exceptions, and the person authorized to approve the result before discussing an impressive demo.
Recruiters, title examiners, and the same paperwork problem
SureCafe brings that thinking to hiring. TIU presents it as a talent intelligence platform that screens resumes, matches candidates, and conducts AI-powered video interviews. It sits alongside the firm’s recruitment services, giving TIU both a software offering and a role in finding the people a customer needs.
CURE Exam addresses property-title examination. Its product description covers chain-of-title reconstruction, deed-of-trust reconciliation, and two deliverables: a raw research extract and examination notes. That distinction is useful. Reviewers need the underlying record as well as a readable conclusion. TIU also markets property-risk case management and financial-services AI applications.
The shared pattern is document-heavy work with consequential decisions at the end. That is an editorial reading of the portfolio, rather than a claim that these products are interchangeable. Matching a candidate and examining a title require different expertise, different review rules, and different tolerances for error.
Buy a bounded result
TIU sells services to organizations and markets its own applications. Its finance materials explicitly offer fixed-price pilots; its broader business includes implementation, delivery support, training, and talent services. For a prospective customer, the useful comparison is between engaging TIU, hiring an internal team, commissioning another consultancy, and assembling specialist software vendors.
Organizational work is part of the offer. TIU identifies itself as a SAFe Silver Partner and provides agile training and transformation services. In an essay on agile fatigue, Sonia Malhotra asks, “Has process taken over delivery excellence?” The question fits a firm selling both technology and changes to how teams deliver it.
The approach depends on accessible data, a measurable workflow, and people willing to own the result. A vague mandate to introduce AI gives a delivery team little to test. Poor records and unassigned exceptions make reconciliation harder. A promising pilot also needs a maintenance plan once documents, rules, or systems change.
The sensible starting request is small: take one repetitive process, record its current effort, agree on acceptable output, and run the new system against the old evidence. TIU’s ledger story makes that request unusually tangible. Eleven feeds become two reports. The real achievement is being able to explain how.
“Has process taken over delivery excellence?”Sonia Malhotra / TIU’s essay on agile fatigue