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NX:IQ

Professional Services

Applied AI for professional services firms

Consulting, accounting, legal and engineering firms run on documents, email and billable time. NX:IQ automates the administrative layer around client work so senior people spend their hours on judgment rather than assembly.

Operational problems

Where the work piles up.

Proposal and engagement assembly

Every proposal is rebuilt from scratch even though most of the content already exists somewhere.

Contract sprawl

Engagement letters, MSAs and amendments live in inboxes and drives with no reliable view of obligations or renewals.

Manual intake and onboarding

Client information is collected by email, then re-entered into practice management, billing and CRM.

Knowledge that cannot be found

Prior deliverables and precedents exist, but nobody can locate them fast enough to reuse them.

Billing and time leakage

Narrative writing, WIP review and invoice prep consume hours that never reach a client bill.

Reporting by spreadsheet

Utilization, realization and pipeline reporting depend on manual exports and reconciliation.

How it fits

We connect to the systems you already run.

Nothing here requires replacing your platform. NX:IQ reads the work coming in, applies your rules and writes results back to your systems of record.

  • Client email
  • Contracts & PDFs
  • Time entries
  • Shared drives
NX:IQUnderstand · Validate · Act
  • Practice management
  • CRM
  • Billing
  • Reporting
Practice and project management platformsDocument management and cloud drivesCRMAccounting and billing systemsEmail and calendarE-signature platforms

Integration approach depends on the interfaces your environment exposes. We confirm feasibility during discovery rather than claiming certified partnerships.

Example use cases

Work we would take on.

  • Drafting proposal sections from prior approved material, with reviewers in control of the final document
  • Extracting obligations, renewal dates and key terms from executed agreements
  • Automating client intake and conflict-check paperwork into practice management systems
  • Search across prior deliverables that returns citations, not guesses
  • Assembling invoice narratives from time entries for reviewer approval
  • Consolidating engagement and financial data into a single operational dashboard

Expected outcomes

  • Faster proposal and onboarding turnaround
  • Fewer missed renewals and obligations
  • Less non-billable administrative effort per engagement
  • Reusable knowledge instead of rediscovered knowledge
  • Reporting that does not depend on a manual export cycle

Outcomes describe the intent of each engagement. We define the measurement with you before build and report against it after launch.

What process should your team never have to do manually again?

Show us the workflow. We'll help determine whether AI and automation can improve it.