AI Agents for Construction
FISTA Solutions builds construction AI agents that turn document volume into answers: searching specifications with citations, extracting submittal data for reviewer comparison, drafting RFIs from field observations, summarizing daily reports into risk signals, and flagging schedule slippage with evidence.
- 150+
- projects delivered
- 50+
- companies served
- 99.9%
- verified uptime
- 47%
- efficiency gains
- 12+
- countries reached
What we build
What can AI agents do in construction?
Construction agents answer specification questions with the section quoted, extract submittal product data for comparison against the spec, draft RFIs from field observations with references, summarize daily reports into project risk, and flag activities at risk against reported progress.
- 01
Specification search agent
Answers spec questions with the section and page quoted, replacing manual paging through enormous PDFs.
Documents - 02
Submittal extraction agent
Pulls product data and compliance attributes for reviewer comparison against the specification.
Submittals - 03
RFI drafting agent
Turns a field observation and photo into a draft RFI referencing the relevant drawing and spec section.
Contract - 04
Daily report summarizer
Rolls daily reports into project risk signals — manpower gaps, weather impact, recurring issues.
Reporting - 05
Schedule risk agent
Compares reported progress with the schedule and flags at-risk activities with supporting evidence.
Schedule
Requirements
What guardrails do construction agents need?
Construction agents touch the contractual record, so guardrails focus on citation, approval, and revision awareness: answers cite the current drawing revision, correspondence requires human approval, and superseded documents are never quoted as current.
| Guardrail | Why it matters here | How FISTA implements it |
|---|---|---|
| Revision awareness | Quoting a superseded drawing causes rework and claims. | Revision-aware retrieval that only cites current documents, with explicit flagging when a question spans revisions. |
| Contractual approval | RFIs and notices carry contractual weight. | Human approval on all outbound correspondence, with deadline tracking and escalation preserved. |
| Citation discipline | Field decisions must be verifiable. | Every answer quotes the section, sheet, and revision, with a link back to the source document. |
| Field usability | Answers are read on a phone in the sun. | Short, direct answers with the citation attached, and offline messaging when connectivity fails. |
| Record integrity | Documents are evidence in disputes. | Read-only access to the document record, with agent activity traced but never mutating project documents. |
Where AI fits
Which construction workflow should you automate first?
Start with specification search. It is the most common time sink on site, requires no external communication, and produces immediate, verifiable value that earns the field's trust for later agents.
- 01
1. Search the specs
Field and office staff lose hours to spec lookup; citations make the answer trustworthy immediately.
- 02
2. Extract submittals
Structured product data speeds reviewer comparison against specified requirements.
- 03
3. Draft RFIs
Observation to draft in seconds, with the project team approving before anything is issued.
- 04
4. Summarize daily reports
Turn a stack of reports into a weekly risk picture for the project executive.
- 05
5. Flag schedule risk
Once progress data is reliable, at-risk activities surface with the evidence attached.
Cost and timeline
How much does an AI agent for construction cost, and how long does it take?
Cost is driven by document volume and platform integration; timeline by document access and field pilot cycles. FISTA does not quote blind: the scoping call returns an agent design, a retrieval plan, and a phased estimate.
Document organization determines retrieval quality. Where drawings and specs are well structured with revision metadata, search is fast to build; where they are scattered, indexing comes first and is priced openly.
Field trust is earned in the first week. FISTA pilots with a project team and measures answer usefulness before broad rollout, because a tool the field abandons costs more than it saved.
Send the scope you have, even if it is a paragraph. You get a written brief, an architecture sketch, and a phased estimate before any commitment.
Get a scoped quoteDelivery
How does FISTA deliver an AI agent into production?
FISTA delivers agents in four gated phases: a discovery sprint that picks the workflow and writes the agent specification, a design that names tools, permissions, and approval points, a build with an evaluation harness and shadow runs on real work, and a production release with traces, dashboards, and rollback.
- 1
Select and specify
Choose the workflow with a measurable outcome, map its systems and edge cases, and write the agent spec with success metrics.
OutputAgent specification, golden test set
- 2
Design the guardrails
Tool inventory with least-privilege scopes, approval gates, escalation paths, data handling, and the evaluation plan.
OutputTool and permission matrix
- 3
Build and shadow-run
Implement tools as MCP servers or connectors, iterate against the evaluation harness, and run in shadow mode on live inputs.
OutputShadow-mode results, eval scores
- 4
Release and observe
Graduated rollout, full traces, cost and quality dashboards, on-call runbook, and a change process that re-runs the evals.
OutputProduction agent with SLOs
Why FISTA
Why choose FISTA Solutions to build your construction agents?
FISTA builds construction agents that cite the current revision, never mutate the project record, and keep correspondence approval with the team. Work is contracted through a US entity with full IP assignment.
Construction specifics
- Retrieval is revision-aware, so superseded sheets are never quoted as current guidance.
- Agents have read-only access to the document record; project documents are never modified by an agent.
- Outbound correspondence requires human approval, with contractual deadline tracking preserved.
- Answers are short with citations attached, designed for a phone on a job site.
How FISTA engineers
- Spec-Driven Development: every deliverable starts as a written specification with acceptance criteria, so scope is testable before it is built.
- AI-native delivery: engineers direct coding agents under review gates and evaluation harnesses, compressing build time without loosening verification.
- Official Anthropic partner, with production experience across Claude, OpenAI, Google, and open-weight models, chosen per workload rather than by default.
- One accountable delivery lead, weekly demos on your environment, and code in your repositories from week one.
What you get as a client
- 150+ projects delivered for 50+ companies across 12+ countries since 2017, with 99.9% verified uptime on systems we operate.
- A US entity (FISTA Solutions Inc., Wilmington, Delaware) for contracting, invoicing, and IP assignment, with an engineering center in Faisalabad, Pakistan for cost-efficient senior capacity.
- US business-hours overlap for standups and reviews; written decision logs so nothing depends on a meeting you missed.
- Flexible engagement: fixed-scope build, embedded forward deployed engineers, or a dedicated team that you can scale month to month.
Clear answers
What teams ask before deploying agents.
Straightforward guidance for evaluating scope, fit, and the next step.
01Can an agent answer questions from our drawings and specs?
Yes, with the section, sheet, and revision quoted. Retrieval is revision-aware so superseded documents are not cited as current, and the agent flags explicitly when a question spans revisions.
02Can agents issue RFIs automatically?
No. They draft RFIs from observations with references to the relevant drawing and spec, and the project team approves before issue, preserving the contractual record and deadline tracking.
03Will it work on a phone in the field?
Yes. Answers are short and direct with citations attached, designed for sunlight and gloves, with clear messaging when connectivity drops rather than silent failure.
04Can it do quantity takeoff from drawings?
For defined scopes it can assist, but it is treated as an estimator aid with measured accuracy rather than an authoritative count, because takeoff errors carry direct financial consequence.
05How long until the field can use it?
Typically weeks on a pilot project where documents are accessible and indexed, with broader rollout following the measured results from that pilot.
Scoped in writing before you commit
Stop paging through the spec book.
Bring the document set and the questions the field keeps asking. The scoping call returns an agent design, a retrieval plan, and an estimate.