01
Domain-trained
Fine-tuned on your corpus, scope-locked retrieval.
Agentic AI Solutions
Enterprise AI Agents.
Domain AI for enterprise stacks.
Domain AI agents that read your wiki, query your DB, file tickets, answer employee questions. RBAC, audit, SOC2-ready, with the engineering depth that survives an enterprise audit.
72%
Ticket deflection
200+
Eval cases
6 wks
Time-to-first
−41%
Cost per task
Trusted by enterprises
Aaj Tak◆
Times of India◆
BJP◆
Beyond Reach Premiere League◆
Red Fm◆
Wellness Fuel◆
Junior Cricket Championship◆
ON Energy◆
ORYZO AI◆
Nursing Sarathi◆
Baatshala Ai◆
The Traffic People◆
Aaj Tak◆
Times of India◆
BJP◆
Beyond Reach Premiere League◆
Red Fm◆
Wellness Fuel◆
Junior Cricket Championship◆
ON Energy◆
ORYZO AI◆
Nursing Sarathi◆
Baatshala Ai◆
The Traffic People◆
Aaj Tak◆
Times of India◆
BJP◆
Beyond Reach Premiere League◆
Red Fm◆
Wellness Fuel◆
Junior Cricket Championship◆
ON Energy◆
ORYZO AI◆
Nursing Sarathi◆
Baatshala Ai◆
The Traffic People◆
Service overview
Engineering enterprise ai agents
We build enterprise AI agents that read your wiki, query your DB, file tickets, and answer employee questions safely. RBAC, audit logs, scope-locked retrieval, SOC2-ready defaults. BAA-ready where required.
Built on your data, fine-tuned on your domain, evaluated against your truth. Same engineering depth as the rest of your platform, no fewer rigor.
Practice signalsSenior-ledWeekly demosCode review on every PRProduction on-call
01
72%
Ticket deflection
Top agent
02
200+
Eval cases
Per agent
03
6 wks
Time-to-first
Corpus to live
04
−41%
Cost per task
Across enterprise fleet
Business challenges we solve
What keeps teams shipping enterprise ai agents.
IT tickets 80% repetitive
Wiki / Confluence that nobody reads
Employee questions swallowing manager time
AI agent tools that leak cross-tenant
No audit trail = SOC2 blocker
Hallucinations in regulated content
Why choose this service
Three senior-led practice lines.
Outcome-anchored, owned by a practice lead with clear accountability, weekly demos, and the kind of code review culture you'd build internally if you had a year.
02
RBAC + audit
Per-tenant scope, audit trail, region-pinned inference.
03
SOC2 ready
Defaults ship audit-ready; no additional config.
Key features
What ships, by default in every engagement.
F·01
RAG over corpus
Hybrid retrieval, citations, scope-locked per tenant.
F·02
Tool surface
DB queries, ticket creation, with typed schemas.
F·03
RBAC bridge
Per-tenant + per-resource access, audit log.
F·04
Eval harness
200+ graded examples, regression in CI.
F·05
BAA / DPA
Zero-retention endpoints, region-pinned inference.
F·06
Observability
OTel tracing, replay, per-agent ROI dashboard.
Benefits & business outcomes
Numbers senior clients measure.
Ticket deflection
Top agent
72%
Outcome · 01
Eval harness
Graded examples
200+
Outcome · 02
Time-to-first
From corpus to live
6 weeks
Outcome · 03
Development process
Senior squads. Tight loops. Code every day.
01
Week 1Use-case triage
Top 3 ROI-ranked agents, feasibility, risk.
02
Week 2Agent design
Tool surface, guardrails, eval suite, RBAC.
03
Week 3–8Build + shadow
Shadow vs human, weekly demos, weekly eval.
04
OngoingOperate
Per-agent ROI, audit, monthly tuning.
Technologies we use
The stack we ship in production.
Layer · 01
Models
ClaudeOpenAI
BedrockVertex
Layer · 02
Retrieval
PineconeWeaviate
pgvector
Elasticsearch
Layer · 03
Orchestration
LangGraph
TemporalLangfuse
Helicone
Industries we serve
Verticals where we've shipped, not where we dabble.
V·01
IT support
Tier-1 deflection, ticket routing
Signal72% Ticket deflection
V·02
HR
Policy Q&A, onboarding
Signal200+ Eval cases
V·03
Sales enablement
Battlecards, RFP drafting
Signal6 wks Time-to-first
V·04
Compliance
Policy lookup, audit assistance
Signal−41% Cost per task
V·05
Operations
Runbook guidance, RCA
Signal72% Ticket deflection
V·06
Customer ops
Account Q&A, contract lookup
Signal200+ Eval cases
Why Abstriq
Built for teams who ship fast in production.
We're not a body shop or a freelance marketplace. We run a senior-heavy engineering org with clear practice leads, real code review, and real on-call coverage.
Signal
72%
Ticket deflection
Signal
200+
Eval cases
Signal
6 wks
Time-to-first
Signal
−41%
Cost per task
Vertical AI, not just LLMs
We build agents that actually move numbers — wired into your systems, your data, your workflows.
Ship in weeks, not quarters
Small senior squads, tight feedback loops, code-merge every day, demo every week.
Industrial-grade rigor
From PLCs to SOC2 — production safety, observability, and resilience baked in.
One team across four worlds
Web, mobile, AI, and industrial under one roof — no vendor ping-pong.
FAQs
The questions we hear most.
If yours isn't here — ping us and we'll reply with specifics on your stack.
01Hallucination risk in regulated content?
Citations required above confidence threshold, scope-locked retrieval, kill switch on regressions, eval-driven iteration.
02RBAC model?
Per-tenant + per-resource, scope-locked retrieval, audit log of every agent call. SOC2-ready defaults.
03What about data residency?
Region-pinned inference, BAA / DPA, zero-retention endpoints where required.
04How long to first production agent?
6 weeks for a single workflow agent with eval harness in shadow mode. 8–12 weeks for multi-agent orchestrations.
Related services
Other practices inside Agentic AI Solutions.
Free consultation
Ready to ship enterprise ai agents?
Tell us the problem — proposal in under 48 hours. NDA-friendly by default, senior-led, and we typically walk you through a proof-of-concept before the engagement closes.
Reply in 24hNDA-friendlySenior-ledProduction on-call