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AI Agents for
your department.

One orchestrator. Five specialist agents.
Watch them think, act, and deliver, in real time.

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Orchestration Layer

MALA Dispatches

What is the overall risk posture of our portfolio, including flood exposure and credit quality?

mala > parsing query...

mala > intent: multi-domain risk assessment

mala > routing → AIDA · AAIFA · AAICA

mala > verification → AIRO · AICO

mala > dispatching 5 agents

Agent 01

AIDA

AI Data Analyst: quantitative portfolio analysis and risk reporting

Agent 01

AIDA

AI Data Analyst: quantitative portfolio analysis and risk reporting.

Portfolio Analytics VaR Computation PnL Attribution Stress Testing
Analyzing portfolio...
Retrieving portfolio holdings
Connecting to fund database...Fund ID: 603745819Positions found: 247
Portfolio holdings 247 positions
Computing Value-at-Risk
Method: Historical simulationConfidence: 99%Result: MYR 4.2M
Value-at-Risk MYR 4.2M
Mapping sector exposure
Grouping: GICS Level 1Top sector: Technology (28.3%)Sectors mapped: 9
Sector exposure 9 sectors
30% 20% 10% 0% Tech Fin Health Energy Indust Cons D Util Mater Comm 28.3% 22.1% 14.7% 11.2% 8.5% 5.9% 4.1% 3.2% 2.0%

VaR: MYR 4.2M, concentrated in Tech (28%) and Financials (22%). Recommend reviewing overweight.

Agent 02

AAIFA

AI Flood Analyst: physical climate risk for property assets

Agent 02

AAIFA

AI Flood Analyst: physical climate risk for property assets.

Flood History Topology Analysis Climate Trends Area Development
Assessing flood exposure...
Searching flood history
Region: Shah Alam, SelangorEvents found: 2021, 2014, 2006Severity: Major (3 of 3)
Flood history 3 events
Analyzing terrain and drainage
Elevation: 28m above sea levelRiver proximity: 1.2km (Klang River)Drainage: Moderate capacity
Terrain analysis 1.2km from river
Checking mitigation infrastructure
SMART Tunnel: OperationalFlood walls: Partial coverageRisk reduction: ~15%
Mitigation SMART tunnel active

Risk score: 62/100, moderate-high. 3 flood events on record. Recommend insurance review.

Agent 03

AAICA

AI Credit Analyst: credit ratings, migration risk, and stress testing

Agent 03

AAICA

AI Credit Analyst: credit ratings, migration risk, and stress testing.

Credit Ratings Migration Matrix Spread Analysis Stress Testing
Assessing credit quality...
Pulling market data from LSEG
Source: LSEG DatastreamIssuers scanned: 89Rating agencies: RAM, MARC, S&P
Market data 89 issuers
Computing migration risk
Method: 1-year cohortA-rated stability: 89.8%Watch list: 3 issuers flagged
Migration risk Low
A+

Weighted Avg Rating A+

Default Probability 0.04%

Migration Risk Low

Watch List 3 issuers

AAA
AA
A
BBB
AAA
91.2
7.8
0.8
0.2
AA
0.6
90.4
8.1
0.9
A
0.1
2.3
89.8
7.1
BBB
0.0
0.3
4.8
88.2

Rating: A+, stable. Low migration risk. 3 issuers on watch list.

Agent 04 -- Risk Officer

AIRO

AI Risk Officer: monitors KRIs and flags breaches.

Market Risk VaR MYR 4.2M
Credit Concentration 12.3%
Liquidity Ratio (LCR) 118%
Interest Rate Risk 2.1 bps
Large Exposure 26.1%

Agent 05 -- Compliance Officer

AICO

AI Compliance Officer: regulatory checks against BNM and SC.

BNM Capital Adequacy (CAR) PASS
SC Fund Management Guidelines PASS
BNM Stress Testing PASS
! Large Exposure Limits REVIEW
Interest Rate Risk Limits PASS

1 + 1 > 2

AIDA spotted 28% tech concentration.
AAICA pulled credit ratings on those exact holdings.
AIRO flagged large exposure at 26.1%, above the 25% limit.
AICO matched it to BNM policy breach.
Four agents. One connected insight. Seconds.

mala > synthesis complete

Risk posture: sound.
One action required.

Large exposure at 26.1% exceeds internal limit. All other risk and compliance indicators within threshold.

5 agents. 27 tool calls. 7 minutes.

How many people and how many weeks would this take your team?