Automation Workflows
Dotnitron builds production workflows around data rooms, client evidence, workpapers, contracts, ERP/source-system data, diligence review, compliance mapping, and reporting operations.
Workflow catalog
Choose the bottleneck with the clearest business cost: diligence drag, evidence back-and-forth, reviewer rework, analyst queues, reporting delays, or sensitive data risk. Prove it with real artifacts, real users, and validation evidence.
Deploy governed agents around one painful recurring workflow, with approved tool access, source retrieval, human review, and validation evidence.
Extract control statements from client policies and map them to SOC 2, ISO 27001, HIPAA, or your firm control library so reviewers start from a prepared matrix instead of a blank sheet.
Produce Covered, Partially Covered, and Missing verdicts with source-backed rationale your reviewers can inspect.
Review client evidence against control requirements and flag weak, missing, stale, or inconsistent support before senior reviewers spend time chasing sources.
Draft ToD and ToE assessment notes from control descriptions, procedures, and client evidence for human approval.
Review data rooms, contracts, reports, and management files against your diligence playbook so teams can surface red flags and memo-ready findings faster.
Export reviewer-approved findings into your Excel, Word, PowerPoint, or internal workpaper formats so automation ends where delivery actually happens.
Let approved teams ask recurring operational questions over ERP and source-system data without waiting on analyst queues or spreadsheet workarounds.
Turn candidate, vendor, and company verification documents into repeatable review workflows with evidence-linked outputs.
Automate recurring company law, filings, registers, board records, and compliance document checks for diligence teams.
Forward-deployed implementation
We start with the operating path: who feels the delay, which source material is trusted, what evidence must stay visible, which decisions require human review, and what output changes the business. Then we build the system and controls around that reality.
Governed by design
Outputs connect back to source documents, visible SQL, approved scopes, and reviewer decisions.
Capability Layers
Underlying supports document-heavy workflows. SemeLabs supports governed ERP and source-system answers. Pelestra supports data readiness and sensitive repository review when private deployment or client data boundaries matter.
A reusable Dotnitron capability with 30 specialized agents for diligence files, policies, contracts, evidence, reports, data rooms, and review queues where outputs need source visibility and human approval.
A reusable Dotnitron capability for SQL-backed answers from approved ERP, finance, and operating data when teams need visible logic and validation.
A reusable Dotnitron capability for preparing messy, sensitive repositories before AI touches regulated enterprise data.
Evidence, contracts, schedules, policies, exports, and client files are scattered across VDRs, email, client portals, SharePoint, ticketing systems, and local folders.
A client-approved intake, AI-assisted preparation layer, human approval loop, and export into the workpaper, memo, issue list, or reporting format your team already uses.
Workflow outputs
The right workflow gives reviewers, managers, deal teams, and delivery leads a concrete work product: findings, exceptions, citations, drafts, and approvals that can move into the existing process.
Data-room files become a prioritized table of risks, extracted facts, missing items, source references, and follow-up questions.
Client evidence is prepared against control requirements so reviewers can inspect exceptions instead of rebuilding the evidence trail.
Policies, procedures, and control libraries are mapped into a structured matrix with covered, partially covered, missing, and unclear items.
The system prepares a first pass in the firm's preferred template, while low-confidence claims and assumptions remain visible to the reviewer.
Underlying accelerates document and workpaper builds. SemeLabs accelerates governed ERP and source-system answer workflows. Pelestra helps prepare sensitive repositories before AI enters the workflow.
Bring one painful process. We will map the operating path, data and tool scope, controls, review process, and proof needed for a practical first deployment.