6–8 Week Deal Delivery AI Sprint
Dotnitron redesigns, builds, shadow-runs, and deploys one analyst-heavy transaction advisory process around your firm's methodology, templates, tools, data, and reviewer controls. Fixed fee: $25,000.
Partner-led PE and M&A transaction advisory teams with a repeated analyst-heavy deal process, a senior sponsor, representative source material, and reviewers who can define acceptable output. This can be a specialist firm or a focused practice inside a larger organization.
Strong first systems support VDR triage, diligence document review, red-flag extraction, workpaper preparation, management Q&A, bank-statement extraction, data reconciliation, source-backed reporting, and exports into the firm's Excel, Word, or PowerPoint templates.
Deal Process Blueprint, built and deployed AI system, source-backed output, reviewer interface, template-aligned exports, shadow-run evaluation results, technical documentation, handover, and a Next Process Blueprint with two or three expansion candidates.
Before engineering, we baseline the current process and agree acceptance criteria. During the shadow run, we measure preparation time, reviewer effort, source accuracy, exception quality, output consistency, and whether the system is ready for real delivery work.
The Deal Delivery AI Production Sprint is a $25,000 fixed-fee engagement for one agreed process over 6–8 weeks. Scope, client dependencies, acceptance criteria, data access, integrations, and review availability are confirmed before kickoff.
A strong sprint needs one senior sponsor, one process owner, representative material, reviewer availability, timely access decisions, and a clear go-live owner. Your team supplies domain judgment and acceptance. Dotnitron owns process analysis, agent and software engineering, integration, evaluation, deployment, and documentation.
Sprint Scope
Transaction advisory firms with a repeated deal process that consumes measurable analyst and reviewer time.
The workflow candidates that usually make the strongest first production sprint.
Artifacts your team can inspect at the end of the sprint.
Timeline
Map the people, sources, tools, manual steps, exceptions, current effort, output standard, and acceptance criteria.
Engineer the agents and application, connect agreed sources and tools, and implement deterministic checks, permissions, review, and exception handling.
Run the system beside representative historical or live work and evaluate accuracy, evidence, exceptions, review effort, and reliability.
Deploy the validated AI system, onboard users, document it, hand over operations, and identify adjacent opportunities.
FAQ
Do not buy it if you want a generic AI workshop, a free proof of concept, or an open-ended transformation program. The sprint is for a firm with one valuable deal process, real examples, an accountable owner, and reviewers available to validate outputs.
The timeline is long enough to map and baseline the process, build the complete operating path, integrate required sources and review steps, run it beside representative human work, remediate gaps, and complete deployment and handover.
We need access to the process owners, sample templates, representative documents, and security constraints. We can coordinate with IT for deployment decisions.
The first call decides whether the process is repeated, painful, measurable, safe enough to test, and owned by someone who can validate outputs. If it is not a fit, we will say so.
It covers one agreed deal process, including mapping, AI agent and software engineering, agreed integrations, reviewer experience, evaluation, deployment, documentation, and handover. The design may use one agent or multiple specialized agents depending on the work. Material scope changes are agreed separately before work proceeds.
A process owner, reviewer access, sample documents or data, current templates, success metrics, and clarity on data sensitivity. Sensitive material can be scoped after NDA or replaced with sanitized samples for early mapping.
If the agreed acceptance criteria are not met by the end of the sprint, Dotnitron provides up to two additional weeks of remediation without an additional implementation fee, subject to the agreed scope and client dependencies.
OpenAI partner network
Ready for a production decision