Highly configurable Asset management platform
Model your way. Turn context into intelligence, automation and action.
Built for AI-driven operations.
- Configurable platform
- Model your business around the way it actually operates
- Shared operations
- Bring every team into one connected planning and operating cycle
- Built-in intelligence
- Turn connected portfolio context into answers and insight
- AI agents
- Put that intelligence to work across your everyday operations
Operating modules
From investment assumptions to the next decision
Six connected workflows turn asset information into material your team can review. Financial modelling, scenario analysis and data integration support the work across modules.
Investment forecast
Understand what needs to be true for an investment to work.
- Start with
- Asset profile, market assumptions and investment notes
- Review together
- Cash-flow scenarios and assumptions for investment review
Rolling forecast
See what changed since the last forecast, and why.
- Start with
- Actual performance, cost movements and revised assumptions
- Review together
- An updated forecast with the changes explained
Budget management
Connect the numbers to the people responsible for the plan.
- Start with
- Budget lines, operating plans and named owners
- Review together
- Budget variances, review notes and approval decisions
Risk management
Keep the evidence and response alongside each risk.
- Start with
- Risk records, supporting evidence and proposed mitigations
- Review together
- A risk review with owners and follow-up actions
Portfolio management
Move from individual asset performance to portfolio priorities.
- Start with
- Holdings, asset performance and business plans
- Review together
- Portfolio comparisons and a prioritised action list
Deal structuring
Compare terms and assumptions before making a commitment.
- Start with
- Deal terms, alternative scenarios and review evidence
- Review together
- A proposed structure with trade-offs and open questions
Intelligence built in
Turn portfolio context into actionable intelligence
Start with a monthly operating review: which assets moved away from plan, which assumptions changed, and what should the team examine next? AI works with the asset information and review context behind those questions.
- Ask your portfolio
- Explore your data in natural language and get answers grounded in the context of your business
- Surface what matters
- Identify changes, exceptions, risks and opportunities across assets and portfolios
- Generate with context
- Create summaries, analysis, reports and other work from the information already inside your platform
The explanation starts the review. Your team makes the decision.
AI agents
From insight to action
Continue the same operating review: prepare the material, route it to the right person and follow up on the agreed action. Configure the permissions and approval steps around each task.
- Understand
- Agents work with the context of your assets, data, relationships and business rules
- Execute
- Delegate repeatable tasks and multi-step workflows instead of moving work from one system to another by hand
- Govern
- Keep agent actions within defined permissions, approval rules and operational controls
Illustrative workflow
Monthly operating review · Asset A
- Previous assumption
- Full occupancy from July
- New information
- Lease commencement moves to September
- Forecast impact
- Revisit rental income and operating cash flow
- Review status
- Draft · Awaiting asset manager review
One exception, from explanation to follow-up
Identify the variance
Compare actuals with the budget and previous forecast to find the asset behind the change.
Explain the movement
Bring the revised lease assumption and its source into a draft explanation for review.
Route for a decision
Prepare the review for the responsible asset manager, with open questions and supporting evidence.
Follow through
After approval, track the agreed forecast revision and the next action with its owner.
Example content, not a live product screen or customer result. Fields, routing and automated actions depend on configuration and available capabilities.
Decision record
Keep the reasoning with the result
The next review should begin with what the team already knows: the source, the change, the decision and the work still to do.
- What changed
- Keep source information, previous assumptions and revised forecasts together so a reviewer can follow the explanation.
- What was decided
- Connect review notes and approval records to the proposal they address, including unresolved questions.
- What happens next
- Give follow-up work a named owner and a review date, with the decision available as context.
One platform, from structure to action
Configure the structure everything else runs on
- Connected asset data
- Bring data from existing systems into a shared model of portfolios, assets and relationships. Configure the fields your reviews need.
- Configurable workflows
- Design processes around how your teams actually work, with configurable stages, rules, actions and approvals
- Enterprise controls
- Define roles, permissions, governance and business rules without sacrificing flexibility as your organisation grows
Amkit brings the data model, workflows, intelligence and agents together in one real estate asset management platform.
Build the asset management platform around your business
Configure the way you work today — and give your teams an AI-native foundation for what comes next.
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