ThinkAIWork by Selona

The control layer starting with finance AI

ThinkAIWork turns company context, source files, workflows, and templates into structured, auditable outputs, across the AI models your team chooses.

Private beta10 fractional CFOs3 partner channelsModel-agnostic architecture

Inside ThinkAIWork

See how finance workflows become structured, repeatable, and auditable.

ThinkAIWork context accelerator workflow preview

THE PROBLEM

Finance teams do not just need faster answers. They need repeatable context, consistent outputs, controlled costs, model flexibility, and an audit trail they can defend.

Blank prompt surface

Generic AI starts without finance controls.

Generic output

No board voice, no company context, no competitive edge.

Context drift

Institutional knowledge gets re-explained every month — then disappears again.

No fixed structure

Different analyst, different output. No repeatability, no trust.

Exploding token cost

The same context is resent every call, with little visibility into spend.

Model lock-in

Prompts, workflows, and outputs become trapped inside one vendor.

Cluttered context

Files, teams, entities, and geographies become impossible to govern.

The issue is not intelligence. It is the missing control structure around context, cost, evidence, and repeatability.

CONTROL LAYER

ThinkAIWork gives finance teams a control layer for what goes into AI, how it is used, and what comes back.

Controlled source

Inputs

  • Company context
  • KPI definitions
  • Board style
  • Stakeholder red lines
  • Source files
  • Budget limits
  • Output rules

ThinkAIWork

Control layer

Context, skills, templates, model rules, and budget logic sit between finance data and AI output.

ContextVersioningSkillsTemplatesModel routing
VersionReusable

Context v2.4 approved

PolicyAuditable

Board output template locked

Structured return

Outputs

  • Board commentary
  • Variance analysis
  • VAT/GST reconciliation
  • Stakeholder updates
  • Audit-ready summaries
  • Forecast narratives
  • Management reports

WORKFLOW PROOF

Example: VAT/GST reconciliation, grounded in source files and reusable finance context.

ThinkAIWork input data workspace
01

Source file

Upload the VAT report, ledger extract, or reconciliation workbook.

ThinkAIWork company context builder
02

Company context

Apply entity rules, tax periods, chart of accounts, and review preferences.

ThinkAIWork reusable finance skill builder
03

Finance skill

Run the reusable reconciliation workflow with approved model routing.

ThinkAIWork auditable output summary with exceptions and source links
04

Auditable output

Return a structured summary with source links, exceptions, and review notes.

SIX PRODUCT LAYERS

ThinkAIWork is not a black box. Your team defines the rules, context, workflows, templates, and outputs.

Setup rules product visual
01

Setup rules

Define how ThinkAIWork should behave before any workflow runs.

Build context product visual
02

Build context

Encode company voice, KPIs, policies, source files, board style, and stakeholder sensitivities.

Version context product visual
03

Version context

Update sponsor priorities, board preferences, assumptions, and operating context once — then reuse everywhere.

Optimise tokens product visual
04

Optimise tokens

Compress and route context so recurring workflows stay inside budget.

Package skills product visual
05

Package skills

Turn repeat finance tasks into reusable workflows.

Control outputs product visual
06

Control outputs

Define structure, calculations, tone, evidence, and approval requirements.

Start on Claude. Run Anthropic, OpenAI, or local models without rebuilding context.

USE CASES

Each workflow becomes a reusable artifact, not a one-off prompt.

BoardTemplate

Commentary pack

Board deck commentary
VarianceSource

Driver narrative

Variance analysis
VAT/GSTAudit

Exception log

VAT/GST reconciliation
UpdateReview

Stakeholder memo

Stakeholder updates
AccountsMonthly

Close summary

Management accounts
ForecastModel

Scenario notes

Forecast commentary
EvidenceLinked

Support pack

Audit evidence packs
ReviewReusable

CFO operating view

CFO operating reviews

TRUST AND CONTROL

Source-linked outputs
Context versioning
Template-controlled structure
Token budget visibility
Model flexibility
Workspace access review
Approval-ready workflows
Security documentation available on request

Output evidence

Board commentary

Review ready
SourceEvidence

Ledger extract line 184 linked

Templatev1.8

Board voice and structure locked

ModelPolicy

Approved routing policy used

Control state

Source links
Version history
Access review
Approval trail

Finance teams can defend how each answer was shaped, which source was used, and what approval path it followed.

PRIVATE BETA

ThinkAIWork is being shaped with fractional CFOs and finance teams turning recurring finance work into reusable, auditable AI workflows.

10

Fractional CFOs using the platform

3

Partner channels signed

Early signal

Early user feedback: ThinkAIWork gives us a clearer audit trail before external review.

Early customer testimonials

With ThinkAIWork I can expand beyond my traditional CFO role into operations too.

Fractional CFO, early user

The platform truly drives a lot of value — I don’t have to pay premium dollars to auditors anymore.

CFO, enterprise pilot

SEE THE CONTROL LAYER

See how controlled AI workflows can support board reporting, variance analysis, reconciliations, and recurring CFO work.

For enquiries: info@selona.ai

Frequently asked questions

Find some quick answers to the most common questions.

  • ThinkAIWork is Selona's AI-agnostic workspace for finance teams and fractional CFOs. It turns controlled inputs into structured, auditable outputs for recurring finance work.

  • Generic tools start from a blank prompt. ThinkAIWork lets teams define context, versions, reusable skills, output templates, budget limits, and model routing before workflows run.

  • The private beta is focused on recurring CFO work such as board commentary, variance analysis, VAT/GST reconciliation, stakeholder updates, management accounts, and forecast narratives.

  • Yes. ThinkAIWork is designed so context, skills, and templates can be reused across Anthropic, OpenAI, and local model deployments without rebuilding the finance workflow from scratch.

  • Security documentation is available on request. Public pages avoid unconfirmed certification or deployment claims until they are formally documented.

For enquiries: info@selona.ai